The effect of cultural difference on project risk management practice : a Thai culture analysis

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Drivers for green supply chain management : priorities and impact from organizational theory perspective

This study aims to identify and prioritize drivers affecting green supply chain management (GSCM) implementation for achieving sustainable development goals in the electronics industry in Thailand. The research examines relationship between priorities of the drivers, based on evaluation by three different groups of experts (decision makers). In this study, the applicable drivers affecting the firm’s sustainability (i.e. economic, social, and environmental performance) through GSCM practices are obtained using fuzzy Delphi method, viewed through organizational theory perspective. These drivers are then prioritized by fuzzy AHP-based group decision making, using the views of three groups of experts. The Spearman rank correlation is used to determine the level of agreement between the rankings among the three groups. This study explores the most important drivers especially for the ‘green’ start-ups with a sustainability-driven organizational strategy. It is noted there is considerable consistency between the rankings, leading to strong support that the ranking is applicable across three groups of experts. A set of recommendations are made for stakeholders to enhance the success of implementing GSCM towards sustainability targets. Moreover, it is expected that these findings be useful in efforts to improve sustainability performance of the electronics industry, and will be useful to international electronics firms seeking a share in the Thai markets

Selection of third-party logistics service providers (3PL) under the sustainable supply chain management

This study aims to determine the decision-making criteria for selecting third-party logistics service provider (3PL), under sustainable supply chain perspectives. The research methodology involves two stages. First, 3PL selection criteria were identified through a comprehensive literature review and an interview process involving a group of experts managing sustainable supply chains. Then, each criterion was assigned to one of the categories of triple bottom line (TBL) concept by thirteen experts through Q-sort technique. Twelve out of twenty-three criteria were selected for the next stage, based on an acceptable consensus ratio. In the second stage, further thirty-five experts were asked to identify relative weight of importance among those twelve criteria with respect to each of TBL dimension. In this stage, Fuzzy analytical hierarchy process (FAHP) was applied to prioritize TBL dimensions and weight of each 3PL decision making criterion. Results indicate that economic dimension is the most important aspect, comprising of four individual decision making criteria for selection of 3PL service providers. Research findings were validated via a single case study from Australian automotive industry. The proposed model provides guidelines for practitioners better understand holistic view of issues concerning selection of third party logistics providers when considering triple bottom line goals. However, the proposed approach, with no interrelationships among sub-criteria incorporated means that the model is limited in its applicability. Thus, further research should focus on the interdependencies that play a role in comprehensive selection process

Green supply chain management, triple bottom line, and organizational theory : prioritization with fuzzy AHP method

The purpose of this study is to investigate the impacts of green supply chain management (GSCM) practices on triple bottom line (TBL) measures. Fuzzy AHP is employed to reveal a relative weight of importance of each GSCM practice on TBL measures, based on inputs from twenty experts from electronic parts and component manufacturing industry. Furthermore, this study provides prioritization of enabling factors in implementing GSCM strategy from three prominent organizational theories: (i) institutional theory, (ii) resource-based view theory, and (iii) social network theory. GSCM adoption in Thai electronic industry is best explained by organization theory, where laws and regulations are the most influential factors encouraging GSCM implementation. The research study, based on findings enables recommendations for management team to allocate necessary resources in effective strategic GSCM implementations and evaluations

Prioritizing enabling factors for successful Radio Frequency Identification (RFID) implementation : the application of a multi-criteria decision-making method

The purpose of this study is to prioritize enabling factors for successful Radio Frequency Identification (RFID) implementation. Multi-criteria decision making, based on Analytic Hierarchy Process (AHP) method was adopted for prioritizing enabling factors for successful RFID implementation. The study involves four phases, which include: (1) assessment of potential enabling factors and performance measures in RFID implementation; (2) development of the problem structure in order to form the AHP model; (3) soliciting experts' opinions; and (4) prioritise those enabling factors. Twelve experts, consisting of five academics and researchers, and seven suppliers and manufacturers of RFID, were interviewed. Expert ChoicerM software was used to calculate the normalized and unique priority weights. The results of the data analysis determined the relative importance of individual factors, and in turn identified the enabling factors on which organizations should consolidate their efforts in the process of implementing RFID. These factors include top management commitment, training and education of employees, establishing an effective business network, ensuring the technological compatibility among users, and implementing effective project management. Recommendations for practitioners (management) to implement this technology in both manufacturing and retailing business are proposed

Achieving career satisfaction through fostering innovation: lessons from the engineering profession in the Australian public sector

This paper proposes a novel approach that integrates the capability of empirical validation of structural equation modelling (SEM) and the prediction ability of Bayesian networks (BN). The Hybrid SEM–BN approach was used as a decision support framework to examine the interplay between salient organisational constructs and their ability to influence engineers’ career satisfaction in the Australian Public Service (APS). The results emphasise that the ambidextrous culture for innovation was the most important factor that needed to be implemented in their organisation. Managerial implications are recommended for senior managers on how they can implement innovation culture to increase workplace innovation, which could, in turn, help reduce the turnover rate of engineers employed in the APS

Eco-design practices towards sustainable supply chain management : interpretive structural modelling (ISM) approach

Due to increasing emphasis on sustainable practices, many organisations have attempted to leverage their supply chain performance towards balancing triple bottom line dimensions (economic, environmental and social perspectives). This paper, therefore, determines the priorities of sustainable supply chain management focusing on eco-design. Interpretive structural modelling (ISM) and Matriced’ Impacts Croise’s Multiplication Appliquee a UN Classement (MIMAC) are used to identify the hierarchical structure of the relationships among eco-design dimensions, and to analyse characteristics power of each dimension on supporting eco-design practices. The relationships and characteristics power of each dimension are used to determine indicators that are effective in enhancement of eco-design practice, evaluated through sustainable supply chain performance. Results indicate that product deployment is an important approach for improving eco-design practice towards sustainable supply chain management. This emphasises the purpose and impact of eco-design on sequential supply chain activities at deployment phase. Further research is required to make an overall assessment of eco-design practices across range of manufacturing industries, given the current research is based on inputs from a limited number of experts of selected organisations