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Pure Research Examples What Does It Mean Continuous Process Improvement

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Front Psychol. 2021; 12: 693727.

Data Set on the Use of Continuous Improvement Programs in Companies From Open-Ended Questions

Amable Juarez-Tarraga

1Departamento de Organización de Empresas, Universitat Politècnica de València, Valencia, Spain

Cristina Santandreu-Mascarell

1Departamento de Organización de Empresas, Universitat Politècnica de València, Valencia, Spain

Juan A. Marin-Garcia

2ROGLE Departamento de Organización de Empresas, Universitat Politècnica de València, Valencia, Spain

Received 2021 Apr 11; Accepted 2021 Sep 13.

Keywords: perceptions, individual suggestions systems, permanent suggestions group systems, ad-hoc groups, semi-autonomous groups, continuous improvement, kaizen, data paper

Introduction

The current environment in which many industrial firms operate is characterized by intense competition with an increasingly predominant role of new technologies that develop toward smart factories, smart products and smart services embedded in an internet of things and services (Sandengen et al., 2016; Vinodh et al., 2021). In this context, the participation of workers and managers in continuous improvement programs can be a weapon for maintaining and improving competitiveness, making use of their knowledge and involvement, in order to enhancing the performance level of the entire organization (Terziovski and Sohal, 2000; Bessant et al., 2001; Van Dijk and Van Den Ende, 2002; García-Lorenzo and Prado, 2003; Wood, 2003; Lee et al., 2010; de Souza et al., 2018).

The great variety of tools, techniques, and classification criteria identified in the literature for applying participation of employees through continuous improvement practices in companies evidences its complexity (Bhuiyan and Baghel, 2005; Garcia-Sabater and Marin-Garcia, 2009; Marin-Garcia et al., 2012). For example, Lillrank et al. (2001) identified four dimensions in the design of tools in order to address the implementation of continuous improvement programs: if the activities are carried out by individuals or by groups; in the case of groups, if the groups are monofunctional or multifunctional and if they are comprised by members who are at the same level or if there are hierarchies within the group; if the activities are parallel or are integrated into the day to day life of the worker and, lastly, if the structure is permanent or is dismantled at the end of specific projects. And the Berger's (1997) classification mentions two dimensions: individual or group tasks and a parallel structure that is integrated into daily work.

These tools have been gradually introduced into companies and have been used in different ways, applying different indicators to assess their performance (Marin-Garcia, 2013; Juarez-Tarraga et al., 2016). For instance, the programs that first appeared in firms were suggestions systems., followed by quality circles and, later, improvement teams, with different configurations, were introduced (García-Lorenzo and Prado, 2003; Marin-Garcia et al., 2008).

Also, it is essential to point out that the level of use of these tools varies extensively in different working scenario depending on the organizational culture or country. According to EUROFOUND (2020) "Only one-fifth of European companies have found the secret for attaining optimal workplace well-being and business performance. 'High investment, high involvement' workplaces have been shown to offer the best outcomes for workers and employers, boosting performance and improving job quality through increasing employee autonomy, facilitating employee involvement and promoting training and learning" and according to the results of the latest survey on European Working Conditions Survey (EWCS) (EUROFOUND, 2016) significant differences at the country level are detected for the question "Are you involved in improving the work organization or work processes of the department or organization?".

Thus, despite their reputation and the benefits demonstrated in continuous improvement programmes, both economically (Appelbaum et al., 2000; Mathieu et al., 2008; Jaca-Garcia and Santos-Garcia, 2009; Subramony, 2009; Van Aken et al., 2010; Chalmers, 2013; Prieto and Pérez-Santana, 2014; Carnerud et al., 2018; de Souza et al., 2018; Sanchez-Ruiz and Blanco, 2019; Sánchez-Ruiz et al., 2019; Sanchez-Ruiz et al., 2020; Paipa-Galeano et al., 2020) and in terms of employee satisfaction and commitment (García et al., 2013, 2014; Jurburg et al., 2017; Stelson et al., 2017; Alvarado-Ramírez et al., 2018; Paganelli et al., 2018; Sakowski and Marcinkiewicz, 2019; Sanchez-Ruiz and Blanco, 2019; Scharf et al., 2019; Paipa-Galeano et al., 2020; Tortorella et al., 2020; Marin-Garcia and Bonavia, 2021), reports of unsuccessful application or management attempts are recurring (Easton and Jarrell, 1998; Bessant et al., 2001; Hackman and Coutu, 2009; McLean et al., 2017; Rantala et al., 2018; Sunder and Prashar, 2020; Tavana et al., 2021), and also, the effects of these initiatives on long-term benefits and their sustainability remain debated (Jaca et al., 2012; Jurburg et al., 2016; Mendez and Vila-Alonso, 2018; Gutierrez-Gutierrez and Antony, 2020).

In this context there is a need for developing studies and measurements regarding continuous improvement and its interrelationships (Bateman, 2005; Hackman and Coutu, 2009; Bonavia et al., 2015; Sanchez-Ruiz and Blanco, 2019; Marin-Garcia et al., 2020; Sanchez-Ruiz et al., 2020; Marin-Garcia and Bonavia, 2021); correctly plan the implementation of these programs, as unsuccessful implementation cause organizations to waste resources, fall short of performance objectives, rework designs, and extend time to market and by considering the right issues and the facilitators and barriers perceived by workers, enable organizations to better understand how to plan for and manage them to achieve the improvement expected, both in terms of economic performance (Hackman and Coutu, 2009; Subramony, 2009) and employee commitment and well-being (Saa Perez et al., 2001; de Koeijer et al., 2014; Mendez and Vila-Alonso, 2018).

The data set provided aims to increase understand how to effectively use this kind of programs to obtain advantages that outweigh their costs, through the responses made by workers and managers to an interview designed by authors, in which four formal participation programs are analyzed: individual suggestions systems, permanent suggestions group systems, ad-hoc groups and semi-autonomous groups. By means the responses and opinions of the interviewees, the data set can be analyzed from different perspectives, such us:

  • - Perceived benefits of the use of these practices

  • - Barriers and facilitators

  • - Differences in perceptions depending on the program implemented

  • - The relevance of the different contour conditions provided (country, type of company, size of company, etc.)

  • - Additionally, applying different perspectives, like the AMO perspective (Ability, Motivation, Opportunity) (Bailey, 1993; Marin-Garcia and Martinez Tomas, 2016) or the traditionally constructs identified by Lawler (1986) (training, communication, rewards, empowerment) the dataset can be used in order to identify facilitators and barriers for the improvement of participation programs.

And finally, potential replication studies is also available, in order to researchers can advance, extend, and deepen the processes of the implementation of participation programs for continuous improvement in companies.

Methods

Ethical Statement

The authors comply with the Scientific Integrity Policy and good research practices of the Universitat Politècnica de València-UPV, dated by 9/11/12. This study was reviewed and approved by Ethical Committee of the Universitat Politècnica de València-UPV (CEI_P7_18_06_19).

Participants

A total of 1,090 employees (managers and workers) were asked about context questions and if they had participated in the following programs to promote Continuous Improvement (CI) in the past 12 months: suggestion boxes, permanent team suggestion systems, short-term team suggestion systems, and self-directed work teams. The interview questionnaire included open-ended questions to obtain data on workers' and managers' perceptions of the CI programs.

The data was obtained along seven academic courses (2008–2009 to 2014–2015) using semi-structured open-ended interviews. In order to get as many responses as possible, we chose to use Purposive snowball sampling procedure (Morse, 2009; Saunders et al., 2009; Emmel, 2013) integrating the data collection in two degrees and a MOOC taught by researchers at the UPV (Valencia, Spain), so that students conducted interviews with workers or supervisors or managers in their closest circle with the only limitation that they had to know the interviewee. Given that the students come from different countries, the sample also contains data from different countries and types of companies, although the answers are in Spanish because the interviewers are Spanish speakers.

These students previously received 40 h of training and instruction about the interview contents and the way it would be carried out. In this training, the interviewers were introduced in the concepts of relevance and accuracy, in order to ensure to having data for which the estimates are as close to the true values as possible, by minimizing biases.

By prioritizing voluntary participation through purposive snowball sampling, we have lost statistical representativeness. However, this method provides other advantages that we have valued as more important, not only at an economic level but also fundamentally for the data's reliability (Noy, 2008; Cassell et al., 2017). The interviewees have been involved in the project through the interviewers and have contributed the data voluntarily and altruistically.

Procedure

The design of the questions and the collection of data has been carried out in three stages. In the first phase, in line with previous research conducted by our research team in this field (Conci, 2012; Marin-Garcia and Conci, 2013; Juarez-Tarraga et al., 2016), we set out to analyze in-depth the level of implementation of high involvement human resource management practices to promote continuous improvement in companies, through data and perceptions of employees of the companies. As a result of this analysis, the work focused on the four programmes identified, as they have been considered, on the basis of previous research, as the most commonly used (Lawler et al., 2001; Marin-Garcia and Bonavia, 2015; Marin-Garcia et al., 2018, 2020). The questionnaire included questions with control variables, commonly used in this type of questionnaire (Cassell et al., 2017), and the original questions that we considered of interest for our research, linked to the use of the selected practices. At this point it is important to highlight the possibilities offered by the open questions included, given that they facilitate the free expression of the opinions and perceptions of the interviewees, in order to elicit responses from respondents so that the researchers' interests do not bias the research results.

In the second phase, the identification and selection of participants was carried out as described in the previous section, with the aim of obtaining as many responses as possible.

And finally, in the third phase, the information is obtained and codified. To ensure data integrity, both the interviewers and the interviewees have carried out their tasks voluntarily. The interviews were conducted face-to-face and recorded when possible (in other cases verbatim copy of responses were written down by interviewers and checked before close the interview), the answers were anonymous, the written consent was obtained from the participants before the interview, and the participants did not receive any monetary compensation.

After conducting the interviews, the interviewers transcribe the data to a web platform to archive information.

In order to avoid errors and biases in the data transcription, the interviewers were previously trained.

The data are provided in both Excel and SPSS formats, and we have also included in this article descriptive tables (data grouping, mean values, etc.) that have been considered relevant to highlight the usefulness of the data and the possibilities of further in-depth analysis, mainly with the qualitative analysis of the data provided in the open-ended questions.

Data Set Description

All the variables collected are linked with the implementation of the four formal participation programs that we have selected in our research: individual suggestions systems, permanent suggestions group system, ad-hoc groups and semi-autonomous groups. The questionnaire contains a total of 28 items, which are structured in two groups. The first part's objective is to collect data about the organization and the interviewed, and the next 18 questions are related with the formal participation programs (see Table 1).

Table 1

Questionnaire.

Order Part Id Question Question in English
1 General V-01-01 Año Year
2 General V-01-02 Nombre de la localidad/pueblo y país donde trabaja el encuestado Name of the city/town where the interviewee works
3 General V-01-04 Actividad económica/Sector: Industrial (producción); Construcción; Servicio Sector: □Industrial (production) □Construction □Services
4 General V-01-05 Cantidad de trabajadores en la planta industrial, oficina, tienda o centro de trabajo donde trabaja el empleado Number of workers in the plant
5 General V-01-06 Tipo de empresa: Sólo una planta/oficina; Varias plantas/oficinas, en un mismo país; Varias plantas/oficinas, alguna en diferentes países Type of company: □Only one plant/office □Several plants/offices in the same country □Several plants/offices in different countries
6 General V-02-01 género: V-02-01.- Sex
7 General V-02-02 Edad en años Age (years)
8 General V-02-03 Años contratado en esta empresa Years employed in this company
9 General V-02-04 Nivel de mando: Operario (sin personas a su cargo); Mando operativo (los subordinados son operarios); Otros mandos (sus subordinados son mandos) Management level:□Operator (without subordinates) □ Operative level (the subordinates are operators) □Other levels (the subordinates are commanders)
10 General V-02-05 Cuántas personas trabajan en su unidad (OPERARIOS a cargo del mismo mando) How many people work in your unit (OPERATORS under the same command)
11 Participation programs V-03-01 ¿existen Buzones de sugerencia en la empresa? Systems of individual suggestions (suggestion boxes or similar). Do they exist in the company?
12 Participation programs V-03-05 Si su empresa no tiene sistemas de sugerencias tipo buzón de sugerencia o similares ¿le gustaría a usted que existieran? If your company does not have any suggestion systems, would you like them to exist?
13 Participation programs V-03-06 ¿Por qué?: Why?
14 Participation programs V.04.01 ¿existen grupos de sugerencia permanentes en la empresa? Suggestion systems or troubleshooting systems in PERMANENT teams (quality circles, innovation teams, Kaizen, Six Sigma). Do they exist in the company?
15 Participation programs V-04-10 Cosas positivas que le ve a estos grupos: Positive things you like about this system:
16 Participation programs V-04-11 Cosas que no le gustan de estos grupos: Things that you do not like about this system:
17 Participation programs V-04-12 Si su empresa no tiene sistemas de sugerencias en grupos permanentes ¿le gustaría a usted que existieran/participar?: If your company does not have any suggestion systems in permanent teams. Would you like them to exist/would you like to participate?:
18 Participation programs V-04-13 ¿Por qué?: Why?
19 Participation programs V-05-01 ¿existen grupos ad-hoc en la empresa? Suggestion systems or troubleshooting systems in SPORADIC teams (Project teams of short duration,…). Do they exist in the company?
20 Participation programs V-05-08 Cosas positivas que le ve a este sistema Positive things you like about this system:
21 Participation programs V-05-09 Cosas que no le gustan de estos grupos Things that you do not like about this system:
22 Participation programs V-05-10 Si su empresa no tiene grupos ad-hoc ¿le gustaría a usted que existieran/participar?: If your company does not have any suggestion systems in sporadic teams. Would you like them to exist/would you like to participate?:
23 Participation programs V-05-11 ¿Por qué?: Why?
24 Participation programs V-06-01 ¿existen GRUPOS DE TRABAJO SEMIAUTÓNOMO en la empresa? Teamwork or semi-autonomous teams. Do they exist in the company?
25 Participation programs V-06-06 Cosas positivas que le ve a estos grupos: Positive things you like about this system:
26 Participation programs V-06-07 Cosas que no le gustan de Estos grupos: Things that you do not like about this system
27 Participation programs V-06-08 (Si su empresa no tiene GRUPOS DE TRABAJO SEMIAUTÓNOMO) ¿le gustaría a usted que existieran/participar?: If your company does not have any teamwork or semi-autonomous teams, would you like them to exist/would you like to participate?:
28 Participation programs V-06-09 ¿Por qué?: Why?:

Raw data are available on https://zenodo.org/record/4607445#.YFCYN9wo-Co. A descriptive analysis of these data is included in the next tables to highlight the possibility of further analysis.

We think recall bias is not likely because the questions we ask are reasonably objective and refer to four different exposures to easily identifiable CI programs. Although the responses can be affected by respondents' memory failure, this would affect the statistical power and reduce its effect on the relationship between CI and other variables, which could be higher than the results indicate (Raphael, 1987).

In Table 2, we can see descriptive information related to the closed questions:

Table 2

Description ended questions.

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Related to the open-ended questions, in order to highlight the possibilities of a further and profound analysis of the data set, using qualitative analysis software, the future investigators can establish the coding and categorization of concepts, and the possible types of relationships/links between them, in order to generate sets of well-related concepts, linked by means of relationship statements, which together can form an integrated conceptual framework that can be used to identify or predict phenomena.

The possibilities offered by the dataset, qualitative analysis and also with mix method (quantitative and qualitative) (Fielding and Fielding, 2011; Cortini, 2014), are important, and we provide below not only the number of words available for analysis, but also the codes, categories and types of relationships that future researchers could apply:

  • - Numbers of words available for analysis:

    • (13) V-03-06 Why?: 7,348 words

    • (15) V-04-10 Positive things you like about this system: 3,205 words

    • (16) V-04-11 Things that you do not like about this system: 2,098 words

    • (18) V-04-13 Why?: 9,957 words

    • (20) V-05-08 Positive things you like about this system: 3,253 words

    • (21) V-05-09 Things that you do not like about this system: 2,106 words

    • (23) V-05-11 Why?: 7,735 words

    • (25) V-06-06 Positive things you like about this system: 4,249 words

    • (26) V-06-07 Things that you do not like about this system: 3,221 words

    • (28) V-06-09 Why?: 7,387 words

  • - Codes and/or categories for qualitative analysis: constraints, weakness, barriers, drawbacks, disadvantages, advantages, facilitators, strengths, and even actions (training, communication, improvement of working conditions, compensation, etc.), among others.

  • - Relations between codes and/or categories that can be explored: Is associated with; is part of; is cause of; contradicts; is up; is property of; difficult; no name, etc.

Suggestions of Future Avenues of Research Using This Data Set

The data set provides information about the use of participative programs in companies and the opinions and perceptions about facilitators and barriers identified by workers and managers during these programs' implementation.

Given that the questionnaire used to obtain the data set poses some open-ended questions, in contrast to the results that can be obtained using closed questionnaires, the data set contains evoked responses that allow to obtain conclusions not predetermined by the researcher but by the interviewee (Atieno, 2009; Robinson, 2014).

The data may be of interest to researchers as well as human resources managers. Researchers on human resources and continuous improvement programs can use this data set to analyze the implementation of formal participative programs (individual suggestions systems; permanent suggestions group system; short-term improvement groups; semi-autonomous groups) and understand and investigate the team phenomena and their effectiveness. The qualitative and quantitative data obtained through the questions formulated provides a wide range of valuable information to analyze aspects as:

  • - Perceived benefits of the use of these practices

  • - Barriers and facilitators

  • - Implications for working conditions and employee well-being

  • - Actions implemented related with communication, training, compensation, participation, etc…

  • - Relations with the four programs analyzed and contour conditions provided (country, type of company, size of company, sector, etc.)

  • - Differences in perceptions depending on the program implemented

  • - The relevance of the different contour conditions provided (country, type of company, size of company, etc.)

  • - Additionally, applying different perspectives, like the AMO perspective (Ability, Motivation, Opportunity) (Bailey, 1993; Marin-Garcia and Martinez Tomas, 2016) or the traditionally constructs identified by Lawler (1986) (training, communication, rewards, empowerment) the dataset can be used in order to identify facilitators and barriers for the improvement of participation programs

Human Resource Managers interested in using these continuous improvement programs can use this data as a benchmark to know the perceptions and expectations of workers and managers.

Our data were obtained face to face in individual interviews carried out over several years, and potential replication studies are also available. Researchers can advance, extend, and deepen the processes of implementing participation programs in companies.

The complexity of the production and service provision environment present critical and new challenges for researchers and managers. Review how the approaches remain valid in companies is essential to learn if these programs (individuals and in team) are to succeed or even if synergies can be achieved (Kozlowski and Bell, 2013).

Data shared in this data article will open up doors for new research collaborations. The authors welcome future collaborations with other researchers and welcome the opportunity to contribute to a similar survey design in other countries.

Ethics Statement

The authors comply with the Scientific Integrity Policy and good research practices of the Universitat Politècnica de València-UPV, dated by 9/11/12. This study was reviewed and approved by Ethical Committee of the Universitat Politècnica de València-UPV (CEI_P7_18_06_19). Written informed consent was obtained from the participants before the interview.

Author Contributions

All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

  • Alvarado-Ramírez K. M., Pumisacho-Álvaro V. H., Miguel-Davila J. Á., Suárez Barraza M. F. (2018). Kaizen, a continuous improvement practice in organizations: a comparative study in companies from Mexico and Ecuador. TQM J. 30, 255–268. 10.1108/TQM-07-2017-0085 [CrossRef] [Google Scholar]
  • Appelbaum E., Bailey T., Berg P., Kalleberg A. L., Cornell N. Y. (2000). Manufacturing advantage : why high- perlormance work systems pay oft by. Acad. Manag. Rev. 26, 459–462. 10.2307/259189 [CrossRef] [Google Scholar]
  • Atieno O. P. (2009). An analysis of the strengths and limitation of qualitative and quantitative research paradigms. Probl. Educ. 21st Century 13, 13–18. [Google Scholar]
  • Bailey T. (1993). Organizational innovation in the apparel industry. Ind. Relat. A J. Econ. Soc. 32, 30–48. 10.1111/j.1468-232X.1993.tb01017.x [CrossRef] [Google Scholar]
  • Bateman N. (2005). Sustainability: the elusive element of process improvement. Int. J. Oper. Prod. Manag. 25, 261–276. 10.1108/01443570510581862 [CrossRef] [Google Scholar]
  • Berger A. (1997). Continuous improvement and kaizen: standardization and organizational designs. Integr. Manuf. Syst. 8, 110–117. 10.1108/09576069710165792 [CrossRef] [Google Scholar]
  • Bessant J., Caffyn S., Gallagher M. (2001). An evolutionary model of continuous improvement behaviour. Technovation 21, 67–77. 10.1016/S0166-4972(00)00023-7 [CrossRef] [Google Scholar]
  • Bhuiyan N., Baghel A. (2005). An overview of continuous improvement: from the past to the present. Manage. Decision 43, 761–771. 10.1108/00251740510597761 [CrossRef] [Google Scholar]
  • Bonavia T., Molina J. G., Puchol A. (2015). Structural validity of a questionnaire to measure effective behaviors in work teams. Ann. Psychol. 31, 667–676. 10.6018/analesps.31.2.184041 [CrossRef] [Google Scholar]
  • Carnerud D., Jaca C., Bäckström I. (2018). Kaizen and continuous improvement – trends and patterns over 30 years. TQM J. 30, 371–390. 10.1108/TQM-03-2018-0037 [CrossRef] [Google Scholar]
  • Cassell C., Cunliffe A., Grandy G. (2017). "The SAGE handbook of qualitative business and management research methods: methods and challenges," in Qualitative Business and Management Research Methods: Methods and Challenges, ed Ltd. SP (London), 624. SAGE Publications. [Google Scholar]
  • Chalmers D. (2013). Social innovation: an exploration of the barriers faced by innovating organizations in the social economy. Local Econ. 28, 17–34. 10.1177/0269094212463677 [CrossRef] [Google Scholar]
  • Conci G. (2012). Perceived results obtained by companies associated to the use of high involvement work practices (HIWP). Work Pap. Oper. Manag. 3, 1–15. 10.4995/wpom.v3i1.1065 [CrossRef] [Google Scholar]
  • Cortini M. (2014). Mix-method research in applied psychology. Mediterr. J. Soc. Sci. 5, 1900–1905. 10.5901/mjss.2014.v5n23p1900 [CrossRef] [Google Scholar]
  • de Koeijer R. J., Paauwe J., Huijsman R. (2014). Toward a conceptual framework for exploring multilevel relationships between Lean Management and Six Sigma, enabling HRM, strategic climate and outcomes in healthcare. Int. J. Hum. Resour. Manag. 25, 2911–2925. 10.1080/09585192.2014.953974 [CrossRef] [Google Scholar]
  • de Souza I. G., Lacerda D. P., Camargo L. F. R., Dresch A., Piran F. S. (2018). Do the improvement programs really matter? An analysis using data envelopment analysis. BRQ Bus. Res. Q. 21, 225–237. 10.1016/j.brq.2018.08.002 [CrossRef] [Google Scholar]
  • Easton G. S., Jarrell S. L. (1998). The effects of total quality management on corporate performance: an empirical investigation. J. Bus. 71, 253–307. 10.1086/209744 [CrossRef] [Google Scholar]
  • Emmel N. (2013). Sampling and Choosing Cases in Qualitative Research: A Realist Approach. London: SAGE Publications Ltd. [Google Scholar]
  • EUROFOUND (2016). Sixth European Working Conditions Survey: 2015. Available online at: https://www.eurofound.europa.eu/surveys/european-working-conditions-surveys/sixth-european-working-conditions-survey-2015 (accessed August 24, 2021).
  • EUROFOUND (2020). Only One-Fifth of European Companies Find Secret to Combining Optimal Workplace Wellbeing and Business Performance. p. 1. Available online at: https://www.eurofound.europa.eu/news/news-articles/one-fifth-of-european-companies-combine-optimal-workplace-wellbeing-and-business-performance (accessed August 24, 2021).
  • Fielding N., Fielding J. (2011). Linking data. Qual. Res. Methods 4:96. 10.4135/9781412984775 [CrossRef] [Google Scholar]
  • García J. L., Maldonado A. A., Alvarado A., Rivera D. G. (2014). Human critical success factors for kaizen and its impacts in industrial performance. Int. J. Adv. Manuf. Technol. 70, 2187–2198. 10.1007/s00170-013-5445-4 [CrossRef] [Google Scholar]
  • García J. L., Rivera D. G., Iniesta A. A. (2013). Critical success factors for Kaizen implementation in manufacturing industries in Mexico. Int. J. Adv. Manuf. Technol. 68, 537–545. 10.1007/s00170-013-4750-2 [CrossRef] [Google Scholar]
  • García-Lorenzo A., Prado J. (2003). Employee participation systems in Spain. Past, present and future. Total Qual. Manag. Bus Excell. 14, 15–24. 10.1080/14783360309704 [CrossRef] [Google Scholar]
  • Garcia-Sabater J. J., Marin-Garcia J. A. (2009). Enablers and inhibitors for sustainability of continuous improvement: a study in the automotive industry suppliers in the Valencia Region. Intang. Cap. 5, 183–209. 10.3926/ic.2009.v5n2.p183-209 [CrossRef] [Google Scholar]
  • Gutierrez-Gutierrez L., Antony J. (2020). Continuous improvement initiatives for dynamic capabilities development: a systematic literature review. Int. J. Lean Six Sigma. 11, 125–149. 10.1108/IJLSS-07-2018-0071 [CrossRef] [Google Scholar]
  • Hackman J. R., Coutu D. (2009). Why teams don't work. Harvard Bus. Rev. 87, 98–130. 10.1007/0-306-47144-2_12 [PubMed] [CrossRef] [Google Scholar]
  • Jaca C., Viles E., Mateo R., Santos J. (2012). Components of sustainable improvement systems: theory and practice. TQM J. 24, 142–154. 10.1108/17542731211215080 [CrossRef] [Google Scholar]
  • Jaca-Garcia M. C., Santos-Garcia J. (2009). Continuous improvement in organizations. Analysis of its implementation in 30 companies. DYNA 84, 133–140. 10.6036/1964 [CrossRef] [Google Scholar]
  • Juarez-Tarraga A., Marin-Garcia J. A., Santandreu-Mascarell C. (2016). High involvement work programs (HIWP) measurement model validation and its capacity to predict perceived performance. Intang. Cap. 12, 1308–1400. 10.3926/ic.837 [CrossRef] [Google Scholar]
  • Jurburg D., Viles E., Tanco M., Mateo R. (2017). What motivates employees to participate in continuous improvement activities? Total Quality Manage. Bus. Excellence 28, 1469–1488. 10.1080/14783363.2016.1150170 [CrossRef] [Google Scholar]
  • Jurburg D., Viles E., Tanco M., Mateo R., Lleó A. (2016). Measure to succeed: how to improve employee participation in continuous improvement. J. Ind. Eng. Manag. 9, 1059–1077. 10.3926/jiem.2074 [CrossRef] [Google Scholar]
  • Kozlowski S., Bell B. (2013). Work groups and teams in organizations: review update. Handb. Psychol. 12, 412–469. 10.1002/0471264385.wei1214 [CrossRef] [Google Scholar]
  • Lawler I. I. I. E. E. (1986). High-Involvement Management. Participative Strategies for Improving Organizational Performance. San Francisco, CA: Jossey-Bass Inc., Publishers. [Google Scholar]
  • Lawler I. I. I. E. E., Mohrman S. A., Benson G. (2001). Organizing for High Performance: Employee Involvement, TQM, Reengineering, and Knowledge Management in the Fortune 1000. The CEO report. Jossey-Bass. 267p. San Francisco. [Google Scholar]
  • Lee F. H., Lee T. Z., Wu W. Y. (2010). The relationship between human resource management practices, business strategy and firm performance: evidence from steel industry in Taiwan. Int. J. Hum. Resour. Manag. 21, 1351–1372. 10.1080/09585192.2010.488428 [CrossRef] [Google Scholar]
  • Lillrank P., Shani A. B., Lindberg P. (2001). Continuous improvement: exploring alternative organizational designs. Total Qual. Manag. 12, 41–55. 10.1080/09544120020010084 [CrossRef] [Google Scholar]
  • Marin-Garcia J. A. (2013). What do we know about the relationship between High Involvement Work Practices and Performance? Work Pap. Oper. Manag. 4, 1–15. 10.4995/wpom.v4i2.1552 [CrossRef] [Google Scholar]
  • Marin-Garcia J. A., Bonavia Martin T., Miralles C. (2008). The use of employee participation in the USA and Spanish companies. Int. J. Manag. Sci. Eng. Manag. 3, 71–80. 10.1080/17509653.2008.10671037 [CrossRef] [Google Scholar]
  • Marin-Garcia J. A., Bonavia T. (2015). Relationship between employee involvement and lean manufacturing and its effect on performance in a rigid continuous process industry. Int. J. Prod. Res. 53, 3260–3275. 10.1080/00207543.2014.975852 [CrossRef] [Google Scholar]
  • Marin-Garcia J. A., Bonavia T. (2021). Empowerment and employee well-being: a mediation analysis study. Int. J. Environ. Res. Public Health 18, 1–22. 10.3390/ijerph18115822 [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  • Marin-Garcia J. A., Bonavia T., Losilla J. M. (2020). Changes in the association between european workers' employment conditions and employee well-being in 2005, 2010 and 2015. Int. J. Environ. Res. Public Health 17, 1–22. 10.3390/ijerph17031048 [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  • Marin-Garcia J. A., Conci G. (2013). Validación de un cuestionario para medir el grado de uso de las prácticas de alta implicación de los trabajadores. Intang. Cap. 9, 854–882. 10.3926/ic.417 [CrossRef] [Google Scholar]
  • Marin-Garcia J. A., Garcia-Sabater J. J., Bautista Poveda Y. (2012). Etapas en la evolución de la mejora continua. ¿Como viven las empresas este proceso? Estudio de un caso. Econ. Ind. 384:153–163. [Google Scholar]
  • Marin-Garcia J. A., Juarez-Tarraga A., Santandreu-Mascarell C. (2018). Kaizen philosophy: the keys of the permanent suggestion systems analyzed from the workers' perspective. TQM J. 30, 296–320. 10.1108/TQM-12-2017-0176 [CrossRef] [Google Scholar]
  • Marin-Garcia J. A., Martinez Tomas J. (2016). Deconstructing AMO framework: a systematic review. Intang. Cap. 12, 1040–1087. 10.3926/ic.838 [CrossRef] [Google Scholar]
  • Mathieu J., Maynard M. T., Rapp T., Gilson L. (2008). Team effectiveness 1997-2007: a review of recent advancements and a glimpse into the future. J. Manage. 34, 410–476. 10.1177/0149206308316061 [CrossRef] [Google Scholar]
  • McLean R. S., Antony J., Dahlgaard J. J. (2017). Failure of Continuous Improvement initiatives in manufacturing environments: a systematic review of the evidence. Total Qual. Manag. Bus. Excell. 28, 219–237. 10.1080/14783363.2015.1063414 [CrossRef] [Google Scholar]
  • Mendez J., Vila-Alonso M. (2018). Three-dimensional sustainability of Kaizen. TQM J. 30, 391–408. 10.1108/TQM-12-2017-0179 [CrossRef] [Google Scholar]
  • Morse J. M. (2009). "Sampling for mixed method designs," in Mixed Method Design (Routledge: ). [Google Scholar]
  • Noy C. (2008). Sampling knowledge: the hermeneutics of snowball sampling in qualitative research. Int. J. Soc. Res. Methodol. 11, 327–344. 10.1080/13645570701401305 [CrossRef] [Google Scholar]
  • Paganelli M., Madeo E., Nabeel I., Lecca L. I., Pilia I., Pili S., et al.. (2018). Education and training in global occupational health and safety: a perspective on new pathways to sustainable development. Ann. Glob. Heal. 84, 538–540. 10.29024/aogh.2309 [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  • Paipa-Galeano L., Bernal-Torres C. A., Agudelo-Otalora L. M., Jarrah-Nezhad Y., González-Blanco H. A. (2020). Key lessons to sustain continuous improvement: a case study of four companies. J. Ind. Eng. Manag. 13, 195–211. 10.3926/jiem.2973 [CrossRef] [Google Scholar]
  • Prieto I. M., Pérez-Santana M. P. (2014). Managing innovative work behavior: the role of human resource practices. Pers. Rev. 43, 184–208. 10.1108/PR-11-2012-0199 [CrossRef] [Google Scholar]
  • Rantala T., Pekkola S., Rantanen H., Hannula M. (2018). Evolution of obstacles restraining productivity improvement. Int. J. Prod. Qual. Manage. 25, 64–89. 10.1504/IJPQM.2018.094293 [CrossRef] [Google Scholar]
  • Raphael K. (1987). Recall bias: a proposal for assessment and control. Int. J. Epidemiol. 16, 167–170. 10.1093/ije/16.2.167 [PubMed] [CrossRef] [Google Scholar]
  • Robinson O. C. (2014). Sampling in interview-based qualitative research: a theoretical and practical guide a theoretical and practical guide. Qual. Res. Psychol. 11, 25–41. 10.1080/14780887.2013.801543 [CrossRef] [Google Scholar]
  • Saa Perez P., Déniz Déniz M. de la C., Univ.Las Palmas de Gran Canaria E. (2001). La capacidad de respuesta corporativa hacia los empleados mediante la gestion de alto compromiso. Rev. Econ. Empres. 15, 69–86. [Google Scholar]
  • Sakowski P., Marcinkiewicz A. (2019). Health promotion and prevention in occupational health systems in Europe. Int. J. Occup. Med. Environ. Health 32, 353–361. 10.13075/ijomeh.1896.01384 [PubMed] [CrossRef] [Google Scholar]
  • Sanchez-Ruiz L., Blanco B. (2019). Survey dataset on reasons why companies decide to implement continuous improvement. Data Br. 26:104523. 10.1016/j.dib.2019.104523 [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  • Sánchez-Ruiz L., Blanco B., Gómez-López R. (2019). Continuous improvement enablers: defining a new construct. J. Ind. Eng. Manag. 12, 51–69. 10.3926/jiem.2743 [CrossRef] [Google Scholar]
  • Sanchez-Ruiz L., Blanco B., Marin-Garcia J. A., Diez-Busto E. (2020). Scoping review of kaizen and green practices: state of the art and future directions. Int. J. Environ. Res. Public Health 17, 1–19. 10.3390/ijerph17218258 [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  • Sandengen O. C., Estensen L. A., Rodseth H., Schjolberg P. (2016). High performance manufacturing - an innovative contribution towards industry 4.0. Proc. 6th Int. Work Adv. Manuf. Autom. 24, 14–20. 10.2991/iwama-16.2016.3 [CrossRef] [Google Scholar]
  • Saunders M., Lewis P., Thornhill A. (2009). Research Methods for Business Students. New York: Prentice Hall. [Google Scholar]
  • Scharf J., Vu-Eickmann P., Li J., Müller A., Wilm S., Angerer P., et al.. (2019). Desired improvements of working conditions among medical assistants in Germany: a cross-sectional study. J. Occup. Med. Toxicol. 14, 1–11. 10.1186/s12995-019-0237-x [PMC free article] [PubMed] [CrossRef] [Google Scholar]
  • Stelson P., Hille J., Eseonu C., Doolen T. (2017). What drives continuous improvement project success in healthcare? Int. J. Health Care Qual. Assur. 30, 43–57. 10.1108/IJHCQA-03-2016-0035 [PubMed] [CrossRef] [Google Scholar]
  • Subramony M. (2009). A meta-analytic investigation of the relationship between HRM bundles and firm performance. Hum. Resour. Manage. 48, 745–768. 10.1002/hrm.20315 [CrossRef] [Google Scholar]
  • Sunder M. V., Prashar A. (2020). Empirical examination of critical failure factors of continuous improvement deployments: stage-wise results and a contingency theory perspective. Int. J. Prod. Res. 58, 4894–4915. 10.1080/00207543.2020.1727044 [CrossRef] [Google Scholar]
  • Tavana M., Shaabani A., Valaei N. (2021). An integrated fuzzy framework for analyzing barriers to the implementation of continuous improvement in manufacturing. Int. J. Qual. Reliab. Manag. 38, 116–146. 10.1108/IJQRM-06-2019-0196 [CrossRef] [Google Scholar]
  • Terziovski M., Sohal A. S. (2000). The adoption of continuous improvement and innovation strategies in Australian manufacturing firms. Technovation 20, 539–550. 10.1016/S0166-4972(99)00173-X [CrossRef] [Google Scholar]
  • Tortorella G., van Dun D. H., de Almeida A. G. (2020). Leadership behaviors during lean healthcare implementation: a review and longitudinal study. J. Manuf. Technol. Manag. 31, 193–215. 10.1108/JMTM-02-2019-0070 [CrossRef] [Google Scholar]
  • Van Aken E. M., Farris J. A., Glover W. J., Letens G. (2010). A framework for designing, managing, and improving Kaizen event programs. Int. J. Product Perform. Manag. 59, 641–667. 10.1108/17410401011075648 [CrossRef] [Google Scholar]
  • Van Dijk C., Van Den Ende J. (2002). Suggestion systems: transferring employee creativity into practicable ideas. R. D. Manag. 32, 387–395. 10.1111/1467-9310.00270 [CrossRef] [Google Scholar]
  • Vinodh S., Antony J., Agrawal R., Douglas J. A. (2021). Integration of continuous improvement strategies with industry 4.0: a systematic review and agenda for further research. TQM J. 33, 441–472. 10.1108/TQM-07-2020-0157 [CrossRef] [Google Scholar]
  • Wood A. (2003). Managing employees' ideas from where do ideas come? J. Qual. Particip. 26:22. [Google Scholar]

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