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More work cooperation or relationship harmony in mass customization? The impacts of personalized design, modular design, and automated processes

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Abstract

Mass customization (MC) is recognized as a new manufacturing paradigm for market competition, and several empirical studies have discussed elements of organizational structure that are conducive to MC. A previous study proposed a model of quality at source and identified cultural values that can be changed by cultural artifacts, such as the stop-the-line system and the Andon system. This paper explores the impacts of three groups of MC enabler variables (personalized design, modular design, and automated processes) on two internal dimensions of organizational culture (work cooperation and relationship harmony).This paper surveyed 160 samples across five manufacturing industries. The results confirm that the three MC enablers (personalized design, modular design, and automated processes) correlate positively with two internal dimensions of the organizational culture of Chinese manufacturers (work cooperation and relationship harmony). Of the two internal dimensions, work cooperation enhances organizational performance, while relationship harmony has no impact on organizational performance. Modular design, automated processes, and work cooperation are powerful tools in the implementation of MC and organizational performance. Personalized design and relationship harmony are useful in MC. However, these tools are intermediate and limited, and they do not contribute to the general performance of the entire organization. Thus, in terms of internal- and team-oriented cultural factors, work cooperation is more important than relationship harmony in the implementation of MC. Relationship harmony is a tool for managing work atmosphere, and this is a new characteristic feature of MC as a new operational paradigm.

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References

  1. Adler PS (1987) Automation and skill: new directions. Int J Technol Manage 2(5–6):5–6

    Google Scholar 

  2. Bergkvist L, Rossiter JR (2007) The predictive validity of multiple-item versus single-item measures of the same constructs. J Mark Res 44:175–184

    Article  Google Scholar 

  3. Bijker WE, Hughes TP, Pinch T, Douglas DG (2012) The social construction of technological systems: New directions in the sociology and history of technology. MIT press, Cambridge

    Google Scholar 

  4. Blake RR (1964) The managerial grid: key orientations for achieving production through people. Gulf Publ. Co, Houston

    Google Scholar 

  5. Braun CA, Flad M, Hohmann S (2019) A continuous and quantitative metric for the levels of automation. IFAC-PapersOnLine 52(19):37–42

    Article  Google Scholar 

  6. Brusoni S (2005) The limits to specialization: problem solving and coordination in ‘modular networks.’ Organ Stud 26(12):1885–1907

    Article  Google Scholar 

  7. Büschgens T, Bausch A, Balkin DB (2013) Organizational culture and innovation: a meta-analytic review. J Prod Innov Manag 30(4):763–781

    Article  Google Scholar 

  8. Cameron KS, Quinn RE (1999) Diagnosing and changing organizational culture: Based on the competing values framework. John Wiley & Sons, United States

    Google Scholar 

  9. Chandler GN, Keller C, Lyon DW (2000) Unravelling the determinants and consequences of an innovation-supportive organizational culture. Entrep Theory Pract 25(1):59–76

    Article  Google Scholar 

  10. Cheng BS (1990) Quantitative testing of organizational cultural values. J Chin Psychol 33:31–49

    Google Scholar 

  11. Cho S (2007) Strategic, organisational and technological factors and knowledge management performance in mass customisation: an exploratory study. Int J Knowl Manag Stud 1(3–4):442–455

    Article  Google Scholar 

  12. Denison DR, Mishra AK (1995) Toward a theory of organizational culture and effectiveness. Organ Sci 6(2):204–223

    Article  Google Scholar 

  13. DeRuntz BD, Turner RM (2003) Organizational considerations for advanced manufacturing technology. J Technol Stud 29(1):4–9

    Article  Google Scholar 

  14. Duray R (2002) Mass customization origins: mass or custom manufacturing? Int J Oper Prod Manag 22(3):314–328

    Article  Google Scholar 

  15. Ernst D (2005) Limits to modularity: reflections on recent developments in chip design. Ind Innov 12(3):303–335

    Article  Google Scholar 

  16. Fang EA, Wu Q, Miao C, Xia J, Chen D (2013) The impact of new product & operations technological practices on organization structure. Int J Prod Econ 145(2):733–742

    Article  Google Scholar 

  17. Fawcett SE, Myers MB (2001) Product and work cooperation in advanced manufacturing: implementation and impact. Int J Prod Res 39(1):65–79

    Article  Google Scholar 

  18. Fogliatto FS, da Silveira GJC, Borenstein D (2012) The mass customization decade: an updated review of the literature. Int J Prod Econ 138(1):14–25

    Article  Google Scholar 

  19. Gill C, Meyer D (2013) Union presence, employee relations and high performance work practices. Pers Rev 42(5):508–528

    Article  Google Scholar 

  20. Gomes CF, Yasin MM, Lisboa JV (2004) A literature review of manufacturing performance measures and measurement in an organizational context: a framework and direction for future research. J Manuf Technol Manag 15(6):511–530

    Article  Google Scholar 

  21. Gupta M, Narain R (2015) A fuzzy ANP based approach in the selection of the best E-Business strategy and to assess the impact of E-Procurement on organizational performance. Inf Technol Manage 16(4):339–349

    Article  Google Scholar 

  22. Hallgren M, Olhager J (2009) Flexibility configurations: empirical analysis of volume and product mix flexibility. Omega 37(4):746–756

    Article  Google Scholar 

  23. Helfat CE, Eisenhardt KM (2004) Inter-temporal economies of scope, organizational modularity, and the dynamics of diversification. Strateg Manag J 25(13):1217–1232

    Article  Google Scholar 

  24. Helms MM, Ahmadi M, Jih WJK, Ettkin LP (2008) Technologies in support of mass customization strategy: exploring the linkages between e-commerce and knowledge management. Comput Ind 59(4):351–363

    Article  Google Scholar 

  25. Hickson DJ, Pugh DS, Pheysey DC (1969) Operations technology and organization structure: an empirical reappraisal. Adm Sci Q 14(3):378–397

    Article  Google Scholar 

  26. Hofstede G, Hofstede GJ, Minkov M (1991) Cultures and organizations: Software of the mind, vol 2. McGraw-Hill, London

    Google Scholar 

  27. Hou H, Hu M, Chen L, Choi JY (2011) An enhanced model framework of personalized material flow services. Inf Technol Manage 12(2):149–159

    Article  Google Scholar 

  28. Huang X, Kristal MM, Schroeder RG (2010) The impact of organizational structure on mass customization capability: a contingency view. Prod Oper Manag 19(5):515–530

    Article  Google Scholar 

  29. Hudspeth LJ (2004) A study of organizational learning culture, strategic responsiveness and mass customization capabilities of United States manufacturing Enterprises. The University of Toledo, ProQuest, UMI Dissertations Publishing 3126107

  30. Jacobs M, Droge C, Vickery SK, Calantone R (2011) Product and process modularity’s effects on manufacturing agility and firm growth performance. J Prod Innov Manag 28(1):123–137

    Article  Google Scholar 

  31. James MH, Nickson LA (2013) Influence of employee relations on organization performance of private universities in Kenya. Int J Innov Res Stud 2(8):184–210

    Google Scholar 

  32. Khazanchi S, Lewis MW, Boyer KK (2007) Innovation-supportive culture: the impact of organizational values on process innovation. J Oper Manag 25(4):871–884

    Article  Google Scholar 

  33. Kotha S (1996) From mass production to mass customization: the case of the national industrial bicycle company of Japan. Eur Manag J 14(5):442–450

    Article  Google Scholar 

  34. Lau CM, Ngo HY (2004) The HR system, organizational culture, and product innovation. Int Bus Rev 13(6):685–703

    Article  Google Scholar 

  35. Lewis MW, Boyer KK (2002) Factors impacting AMT implementation: an integrative and controlled study. J Eng Tech Manage 19(2):111–130

    Article  Google Scholar 

  36. Liao CS (2012) Self-construal, personalization, user experience, and willingness to use code sign for online games. Inf Commun Soc 15(9):1298–1322

    Article  Google Scholar 

  37. Liao K, Sharkey TW, Ragu-Nathan TS, Vonderembse M (2012) Trust-driven joint operational activities to achieve mass customization: a culture perspective. Benchmarking Int J 19(4/5):585–603

    Article  Google Scholar 

  38. Lindell MK (2001) Accounting for common method variance in cross-sectional research designs. J Appl Psychol 86(1):114–121

    Article  Google Scholar 

  39. Liu S (2003) Cultures within culture: unity and diversity of two generations of employees in state-owned enterprises. Human Relations 56(4):387–417

    Article  Google Scholar 

  40. McDermott CM, Stock GN (1999) Organizational culture and advanced manufacturing technology implementation. J Oper Manag 17(5):521–533

    Article  Google Scholar 

  41. Miozzo M, Lehrer M, DeFillippi R, Grimshaw D, Ordanini A (2012) Economies of scope through multi-unit skill systems: the organization of large design firms. Br J Manag 23(2):145–164

    Article  Google Scholar 

  42. Montano BR, Dillon R (2005) The impact of technology on relationships within organizations. Inf Technol Manage 6(2–3):227–251

    Article  Google Scholar 

  43. Morel G, Valckenaers P, Faure JM, Pereira CE, Diedrich C (2007) Manufacturing plant control challenges and issues. Control Eng Pract 15(11):1321–1331

    Article  Google Scholar 

  44. O’Reilly CA, Chatman J, Caldwell DF (1991) People and organizational culture: a profile comparison approach to assessing person-organization fit. Acad Manag J 34(3):487–516

    Google Scholar 

  45. Ouchi WG (1981) Theory Z: how American business can meet the Japanese challenge. Reading (Mass.), London, Addison-Wesley.

  46. Piller FT, Moeslein K, Stotko CM (2004) Does mass customization pay? an economic approach to evaluate customer integration. Prod Plan Control 15(4):435–444

    Article  Google Scholar 

  47. Pine BJ II, Victor B, Boynton AC (1993) Making mass customization work. Harv Bus Rev 71(5):108–117

    Google Scholar 

  48. Pine JB II (1993) Mass Customization: The New Frontier in Business Competition. Harvard Business School Press, Cambridge, MA

    Google Scholar 

  49. Podsakoff PM, MacKenzie SB, Lee JY, Podsakoff NP (2003) Common method bias in behavioral research: a critical review of the literature and recommended remedies. J Appl Psychol 88(5):879–903

    Article  Google Scholar 

  50. Rosnah MY, Ahmad MM, Osman MR (2004) Barriers to advanced manufacturing technologies implementation in the small and medium scales industries of a developing country. Int J Eng Technol 1(1):39–46

    Google Scholar 

  51. Schein EH (2010) Organizational culture and leadership. John Wiley & Sons

    Google Scholar 

  52. Schilling MA, Steensma HK (2001) The use of modular organizational forms: an industry-level analysis. Acad Manag J 44(6):1149–1168

    Google Scholar 

  53. Shook J (2010) How to change a culture: lessons from NUMMI. MIT Sloan Manag Rev 51(2):42–51

    Google Scholar 

  54. Song JB, Dai DS, Wang DB, Song YQ (2006) Effects of human factors on performance of advanced manufacturing technology: an empirical examination. Mater Sci Forum 505–507:901

    Article  Google Scholar 

  55. Squire B, Brown S, Readman J, Bessant J (2006) The impact of mass customisation on manufacturing trade-offs. Prod Oper Manag 15(1):10–21

    Article  Google Scholar 

  56. Trentin A, Forza C, Perin E (2012) Organisation design strategies for mass customisation: an information-processing-view perspective. Int J Prod Res 50(14):3860–3877

    Article  Google Scholar 

  57. Tsui AA, Wang H, Xin KR (2006) Organizational culture in China: an analysis of culture dimensions and culture types. Manag Organ Rev 2(3):345–376

    Article  Google Scholar 

  58. Ulrich K (1995) The role of product architecture in the manufacturing firm. Res Policy 24(3):419–440

    Article  Google Scholar 

  59. Valencia JCN, Valle RS, Jiménez DJ (2010) Organizational culture as determinant of product innovation. Eur J Innov Manag 13(4):466–480

    Article  Google Scholar 

  60. van Goor H, van Goor A (2007) The usefulness of the basic question procedure for determining non-response bias in substantive variables. Int J Mark Res 49(2):221–236

    Article  Google Scholar 

  61. Vilkas M, Çınar O, Bektaş Ç, Katiliūtė E (2012) Battle of value: a gap between organizational and ideal TQM culture in Lithuania and Turkey. Econ Manag 17(3):1209–1225

    Article  Google Scholar 

  62. Wong H, Eyers D (2010) Enhancing responsiveness for mass customization strategies through the use of rapid manufacturing technologies. In innovative quick response programs in logistics and supply chain management. Springer, Berlin, Heidelberg, pp 205–226

    Google Scholar 

  63. Worren N, Moore K, Cardona P (2002) Modularity, strategic flexibility, and firm performance: a study of the home appliance industry. Strateg Manag J 23(12):1123–1140

    Article  Google Scholar 

  64. Xiao Y, Li C, Song L, Yang J, Su J (2021) A multidimensional information fusion-based matching decision method for manufacturing service resource. IEEE Access 9(1):39839–39851

    Article  Google Scholar 

  65. Xin KR, Tsui AS, Wang H, Zhang Z, Chen W (2002) Corporate culture in Chinese state-owned enterprises: An inductive analysis of dimensions and influences. In: Tsui AS, Lau CM (eds) the Management of Enterprises in the People’s Republic of China. Kluwer Academic Press, Boston, MA, pp 415–443

    Chapter  Google Scholar 

  66. Zammuto RF, O’Connor EJ (1992) Gaining advanced manufacturing technologies’ benefits: the roles of organization design and culture. Acad Manag Rev 17(4):701–728

    Article  Google Scholar 

  67. Zhang M, Zhao X, Lyles MA, Guo H (2015) Absorptive capacity and mass customization capability. Int J Oper Prod Manag 35(9):1275–1294

    Article  Google Scholar 

  68. Zhao X, Huo B, Flynn BB, Yeung JHY (2008) The impact of power and relationship commitment on the integration between manufacturers and customers in a supply chain. J Oper Manag 26(3):368–388

    Article  Google Scholar 

  69. Zirpoli F, Becker MC (2010) The limits of design and engineering outsourcing: performance integration and the unfulfilled promises of modularity. R&D Management 41(1):21–43

    Article  Google Scholar 

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Appendices

Appendix 1

See (Table

Table 4 Measurement tools: Personalized design

4).

Appendix 2

See (Table

Table 5 Measurement tools: Modular design

5).

Appendix 3

See (Table

Table 6 Measurement tools: Automated processes (the sum of the below two items)

6).

Appendix 4

See (Table

Table 7 Measurement tools: Work cooperation and relationship harmony

7).

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Fang, E.A., Yang, N. More work cooperation or relationship harmony in mass customization? The impacts of personalized design, modular design, and automated processes. Inf Technol Manag 22, 179–192 (2021). https://doi.org/10.1007/s10799-021-00330-y

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