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This paper explores the role of Internet of things (IoT) enabling factors in adopting digital supply chain.

Analytical hierarchy process (AHP) was used to rank performance measures and prioritise the enabling factors. Semi-structured interviews were conducted to validate and support key research findings from the AHP analysis.

The results show that level of customer demand is the most important indicator in adopting IoT while the level of product/process flexibility is the least important. System integration and IoT infrastructure are the top two enabling factors in increasing the level of process stability, supply chain connectivity, and product/process flexibility, respectively. Furthermore, the study suggests that the enabling factors for IoT adoption are directly connected with organisational resources/technological capabilities that support the resource-based view theory. This research identified interdependencies between IoT enabling factors and key performance measures for IoT adoption success in managing the digital supply chain.

Supply chain managers can use the empirical findings of this study to prioritise IoT adoption, based on the relative importance of enabling factors and performance measures. The research findings are focused on broader supply chain practices of large companies rather than a specific industry and SMEs. Hence, any industry-specific adoption factors and SMEs were not evident from this study.

This research study empirically established priorities of enabling factors for IoT adoption, along with inter-dependencies among enabling factors as a basis for developing guidelines for IoT adoption.

The quality and reliability of medical communication for branded drug adoption is extremely critical, not only for safeguarding patient interests but also for ensuring successful investments by multinational pharmaceutical firms. This paper predicts doctors’ prescribing intentions based on communication relationship among factors for late entrant branded drugs, compared with pioneering brand choice, for treating chronic diseases such as hypertension.

The constructs were validated with structural equation model for a sample set of 151 doctors from private hospitals in the National Capital Region of India.

This research reveals communication drivers and draws on theory to suggest that the doctor’s behavioural prescription intentions, subject to social influence from their colleagues, leads to lower adoption responses.

Given that limitations on sample size are often unavoidable, this study reveals that, due to the availability of substituting brands, alternate therapeutic routes and lack of availability of a practical guide for prescription, a communication model needs to be developed and validated.

Furthermore, managers of pharmaceutical firms should differentiate between the effects of direct and indirect communication–integration efforts for minimizing uncertainty in drug adoption in the context of the fragmented and unpredictable Indian market.

A late entrant may lose its dominant market share to alternate brands from other suppliers due to communication gaps in an unstructured market, leading to low adoption intentions. The study provides business theorists, drug marketers and health-care professionals with unique insights into specific communication drivers of prescribing decisions, aimed at ensuring reliable and appropriate drug adoption in Indian markets.

The dynamic capabilities view is invoked to hypothesize relationships among the service supply chain management (SSCM) process capabilities using the information technology management (ITM) process capability. This study argues that ITM will have an impact on the service performance management (SPM) process capability only when it works through mediators and demonstrates the impact by using the framework of SSCM process capabilities.

This study is based on a survey using quantitative data collection to empirically test the research framework. The proposed framework and hypotheses were tested using a mail-in survey of the service industry in Thailand. The statistical analysis of data acquired from the survey was performed using structural equation modeling.

The results support the existence of a mediating role for the ITM process affecting the SPM process. This study identifies the role of ITM and emphasizes the urgent need for firms to embed other mediating factors into their approaches to achieve SPM process goals in the service supply chain context.

The study offers important implications to researchers as well as practitioners by highlighting the significance of mediating roles for ITM to achieve SPM process.

This research is among the initial attempts to argue the impact of ITM on SPM through mediators.

Due to the importance of efficiency and responsiveness measures rather than just efficiency measures, this research recognizes both measures when considering overall performance of warehouse operations. Thus, the purpose of this paper is to prioritize overall performance measures associated with warehouse operations in manufacturing, third-party logistics service provider and retail industry supply chains.

The study uses an integrated approach that involves the Q-sort method to group measures into four categories. Fuzzy analytical hierarchy process was then used to prioritize individual performance measures within each category and integer liner programming model was used to validate prioritized categories, using the judgment of multiple decision makers across three industries.

The result shows that the financial category is a dominating performance category in managing warehouse operations across all three industries selected. Within the financial category, cost of insurance accounted for 25 percent of total weight of the category, and is considered to be a powerful measure. The financial category is verified by multiple decision makers across three industries, as the most important performance category.

As part of adopting the proposed methodology in practice, it needs to be guided by overall methodology appropriate for industry-specific contexts.

Key novel aspects of this study are to categorize warehouse operations measures and analyze their perspectives in different industries, understand dominant categories of warehouse operations measures in the contemporary supply chain and finally to explore to what extent current practices lead to achieving efficiency and responsiveness in the selected industries.

This paper aims to study a scale development and validation process for an integrative marketing–operations alignment (MOA) theory. This theory was derived from several distinct theories that have attempted to explain the interaction between marketing and operations functions of manufacturing organizations. An initial qualitative research and literature review identified five antecedents to the MOA construct (decision coordination, reward system, information exchange, leadership strategy and performance evaluation) as well as two outcomes (customer orientation and competitor orientation).

The scale was developed and validated using successive testing processes including exploratory factor analysis, confirmatory factor analysis and structural equation modeling (LISREL).

The outcome of the research is a tested and validated model of MOA. While more work needs to be done to test and potentially extend the theory, this research has produced a basic functional model of the MOA process.

The limitations include target populations, choice of industry and geography and cross-sectional time horizon of the study.

This study represents an original contribution to the organizational theory literature, as it provides both a sound theoretical basis and a validated measurement model for the proposed theory of MOA. While this research does draw on existing models, it is more comprehensive and theory-based than the existing models.

The purpose of this paper is to examine the direct and indirect effects of CEO transformational leadership on product innovation performance. This research investigates the mechanism between CEO transformational leadership and product innovation performance, to understand the process through which transformational CEOs exert their influence.

This study is a quantitative research. Data were collected from 269 manufacturing firms in Thailand through a mail survey. This research applied a two-step structural equation modeling process.

The results indicate that CEO transformational leadership indirectly affects product innovation performance through an innovation culture, organizational learning, and the new product development (NPD) process. CEO transformational leadership has a strong effect on innovation culture and organizational learning. Organizational learning is strongly associated with the NPD process, which significantly leads to product innovation performance. By integrating the knowledge of leadership and operations management fields, this study helps extend the understanding of how leaders at the top of an organization influence the NPD process and product innovation outcomes.

For practical implications to be more effective, CEOs focusing on product innovation should develop their skills and behaviors of transformational leadership to foster innovation culture and organizational learning, which in turn will affect product innovation performance.

This study makes a contribution to the literature by filling the research gaps proposed by several prior studies and offering a theoretical framework of the relationship between CEO transformational leadership and product innovation performance.

This study aims to identify what managers involved in the design of a performance measurement system (PMS) perceive are the attributes of a successful PMS.

A total of 85 managers from Thai firms were interviewed to develop the proposed model to measure the success of a PMS. Results from 269 returned questionnaires from Thai managers were analysed by second order confirmatory factor analysis (CFA).

Based on the study's findings, success of PMS was categorised into two aspects: design success and implementation success. Using CFA the empirical data demonstrate a good fit with the proposed measurement model.

The results of this study are based on the opinions of managers and therefore their accuracy is open to question. Adding non‐managerial perspectives might demonstrate another picture.

The findings could well be useful for managers in any organisation. They can assist the manager in judging whether or not the company's PMS is successful according to the discovered criteria. Use of these criteria could lead to better decision‐making in the design and implementation of a PMS framework in any organisation.

This study enhances the body of knowledge by defining what a successful PMS means to managers in Thai firms. The results of this study can be applied to any country, but perceptions of what is important could vary from country to country.

The key findings on implementing ISO 9000 standard in the seafood industry, which is recognized as the leading export industry in Thailand, have been presented. The purpose of this study was to describe the current situation in ISO 9000 implementation, the characteristics, the strengths, the weaknesses, and problems of implementing a quality standard. Reports the finding of a mail questionnaire survey conducted on 178 selected seafood companies. The analysis of the survey data suggested that about 94 percent of companies obtained at least one quality standard. With further analysis, we also found that there are some different characteristics in terms of product type, production process, and purchasing policies among these selected companies. Results indicated that Thai seafood companies still lack enthusiasm regarding ISO 9000, compared with other countries in Asia. Finally, we found major problems in implementing ISO 9000 such as lack of understanding this quality standard and lack of support from the staff and management.

The purpose of this study is to provide a conceptual framework and a scale development process, in order to address the reliability and validity in supply chain integration and environmental uncertainty constructs; in an effort to develop and revalidate scale metrics in different contexts.

Data for this study were collected for a small pre‐test survey in the Thai automotive industry. The measurement scales were pre‐assessed using the Q‐sort method. In addition, a preliminary test for predictive validity was evaluated using correlation analysis.

This study established an explanatory model and a corresponding instrument to conduct future research in supply chain integration. Dimensions/constructs, including supply chain integration, environmental uncertainty, and firm competitive capability are operationally defined in terms of their scale development process.

This study will provide a measurement scale for supply chain integration and uncertainty constructs. This will allow researchers to be confident and bring new insights when exploring supply chain integration under differing operational conditions.

The findings address additional steps required towards improved methodological aspects in terms of how to prevalidate and develop a measurement scale in various constructs within alternative domains.

The purpose of this study is to provide a scale development process, in order to preliminarily address the reliability and validity of CEO transformational leadership, some key organizational factors, and product innovation performance constructs. Data for this study were collected from 264 manufacturing firms in Thailand. The measurement scales were pre-assessed using the Q-sort method, and exploratory factor analysis (EFA) was also conducted to assess the construct reliability and validity. This research established a theoretical framework of CEO transformational leadership, organizational factors including innovation strategy, organizational learning, innovation culture, new product development process, and product innovation performance. Q-sort technique and EFA can help improve the content validity and the construct validity of CEO transformational leadership, some key organizational factors, and product innovation performance. This study provided the initial developmental steps toward the building of a theoretical framework and scale measurement to allow better understanding of the constructs based on the context of firms in Thailand. This will allow researchers to bring new insights when exploring these constructs under differing operational conditions. The findings address additional steps required towards improved methodological aspects in terms of how to pre-validate and develop a measurement scale in various constructs within alternative domains.