Critical factors for an effective business value chain

– The purpose of this paper is to identify critical factors for effective business value chains in the electrical and electronic industries. This knowledge can benefit private firms as well as their supplier management and customer fulfillment, and public agencies for relevant policy initiatives., – The research methodology includes the survey development and the statistical analyses, especially the use of the Pearson correlation. Altogether, a total of 129 firms participated in this study, 97 companies from Hong Kong and 32 firms from Thailand. Included in this methodology are a pre‐test of a survey and follow‐up discussions with participating executives., – An effective business value chain essentially depends on good operational systems and management, and information and communication technology (ICT) linkages with both suppliers and customers. There are a total of five critical factors for effective business value chains. For example, an effective business value chain is influenced by how well production and delivery systems are managed. In addition, how well a manufacturer can manage its operation is influenced by customers with effective information and communication infrastructures., – The five identified factors can be used as a checklist for planning and/or monitoring the effectiveness of a business value chain. The findings also helps develop a new initiative to be undertaken by Thailand's Department of Industrial Work when attempting to strengthen business value chains within various industrial clusters., – The findings underline the need to focus on data harmonization and to adapt ICT standards, such as Control Objectives for Information and related Technology COBIT and Projects in Controlled Environments PRINCE for data sharing and software development, to promote supplier audits when sustaining a business value chain.

[1]  K. Tan,et al.  Attitudes of US and European managers to supplier selection and assessment and implications for business performance , 2003 .

[2]  G. Lynn,et al.  Marketing and Discontinuous Innovation: The Probe and Learn Process , 1996 .

[3]  D. Lambert,et al.  Supply Chain Management: Implementation Issues and Research Opportunities , 1998 .

[4]  Chen-Kuo Lee,et al.  The impact of organisational culture and learning on innovation performance , 2008 .

[5]  Petri Helo,et al.  Supply process development for multi-project management , 2006 .

[6]  Thomas Y. Choi,et al.  Supply‐chain linkages and operational performance: A resource‐based‐view perspective , 2003 .

[7]  Reza Mohammady Garfamy Supplier Selection and Business Process Improvement: An Exploratory Multiple Case Study , 2010 .

[8]  Shaio Yan Huang,et al.  The effects of innovative capacity and capital expenditures on financial performance , 2009 .

[9]  Xiaofei Xu,et al.  A Decision Support System For Supplier Selection Process , 2004, Int. J. Inf. Technol. Decis. Mak..

[10]  Gerald Steiner Supporting sustainable innovation through stakeholder management: a systems view , 2008 .

[11]  Joseph W.K. Chan,et al.  Competitive strategies and manufacturing logistics: An empirical study of Hong Kong manufacturers , 2005 .

[12]  Nelson Oly Ndubisi,et al.  Supplier selection and management strategies and manufacturing flexibility , 2005, J. Enterp. Inf. Manag..

[13]  I Nyoman Pujawan,et al.  Schedule nervousness in a manufacturing system: a case study , 2004 .

[14]  J. Collin,et al.  Plan for supply chain agility at Nokia , 2006 .

[15]  Julie A. Silva,et al.  International Trade and the Changing Demand for Skilled Workers in High-Tech Manufacturing , 2007 .

[16]  Barbara B. Flynn,et al.  Empirical research methods in operations management , 1990 .

[17]  Mark Pagell,et al.  Strategic consensus in the internal supply chain: Exploring the manufacturing-purchasing link , 2002 .

[18]  Benjamin S. Blanchard System Engineering and Management , 1994 .

[19]  Donald R. Cooper,et al.  Business Research Methods , 1980 .

[20]  Hing Kai Chan,et al.  Development of the supplier selection model—a case study in the advanced technology industry , 2004 .

[21]  Angappa Gunasekaran,et al.  A strategic model for agile virtual enterprise partner selection , 2007 .

[22]  Dean H. Kropp,et al.  A comparison of strategies to dampen nervousness in MRP systems , 1986 .

[23]  S. Talluri,et al.  A model for performance monitoring of suppliers , 2002 .

[24]  Qiyuan Jiang,et al.  LOT-SIZING RULE AND FREEZING THE MASTER PRODUCTION SCHEDULE UNDER CAPACITY CONSTRAINT AND DETERMINISTIC DEMAND , 2009 .

[25]  Per Hilletofth,et al.  How to develop a differentiated supply chain strategy , 2009, Ind. Manag. Data Syst..

[26]  V. Sridharan,et al.  On Using Buffer Stock to Combat Schedule Instability , 1990 .

[27]  Sukran N. Kadipasaoglu,et al.  Measurement of instability in multi-level MRP systems , 1997 .

[28]  R. Anthony Inman,et al.  The impact of RFID technology utilisation on supply chain productivity and organisational performance , 2009 .

[29]  Ioannis Manikas,et al.  Traceability data management for food chains , 2006 .

[30]  Petri T. Helo,et al.  Managing agility and productivity in the electronics industry , 2004, Ind. Manag. Data Syst..

[31]  Sameer Kumar,et al.  Impact of globalisation on entrepreneurial enterprises in the world markets , 2005 .

[32]  A. Gunasekaran,et al.  Build‐to‐order supply chain management: a literature review and framework for development , 2005 .

[33]  Jinho Kim,et al.  An object‐oriented approach for building a flexible supply chain model , 2005 .

[34]  G. Lancaster,et al.  Implementing value strategy through the value chain , 2000 .