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The purpose of this paper is to investigate the supply chain leagility proposing all supply chains are leagile with different magnitudes of leanness and agility. A new index, “Deviation from Leagility” (DFL), is introduced, aiming to optimise supply chain design and investigate the relationship between supply chain leagility and firm performance.

The partial least squares (PLS) method was employed to analyse data collected from 299 Australian firms by administering a structured questionnaire.

The results indicate that most companies adopt the leagile supply chain rather than the lean or pure agile design. Furthermore, better business performance is achievable when deviation from a balanced supply chain in which both aspects of leanness and agility are equally embedded is minimised.

The study is limited to a number of constraints that measure leagility; further research is needed to incorporate different aspects of agility.

The findings of this study could provide a guideline for supply chain executives to improve their company’s performance by designing a more balanced leagile supply chain.

This study is unique in its in-depth empirical investigation of modelling of leagile supply chain using a new index, and also addressing: first, the current mismatch between the well-known mutually exclusive strategies (lean/agile); and second, what has later been found when the proposed models were quantitatively tested.

Supply chains in East Asia are being redesigned following the reassessment of the risk of disruption through terrorist attacks. The nature of these risks and of the costs of the private sector responses is reviewed. The research available suggests the costs incurred are substantial. Government regulation applied to security matters also applies within supply chains. It too has been redesigned in response to the change in the risk of terrorist attacks. Examples of its impacts, and its costs and benefits, are presented. Relevant empirical work remains scarce, but principles for government's role can be identified.

Bangladesh is becoming one of the emerging destinations for global outsourcing. However, little is known about the usage patterns of third party logistics (3PL) outsourced services. The purpose of this paper is to examine the extent of 3PL usage, the organisational factors affecting 3PL usage, impacts of 3PL and the future trend of 3PL usage in Bangladesh.

A survey questionnaire is used to collect data against a number of items pertaining to the extent of 3PL use and its impact on performance. A total of 1,000 organizations were randomly selected from the Federation of Bangladesh Chambers of Commerce and Industry (FBCCI) database. The survey resulted in 243 responses, out of which 150 organisations have adopted 3PL services. A chi-square test is conducted to assess statistical significance of the hypothesized relationships among the variables relating to 3PL decision-making process and a regression analysis is conducted to assess the strength of those variables to predict the impact of 3PL usage.

Overall, the results reveal that 3PL services are extensively adopted by businesses (63 per cent) in Bangladesh. Freight forwarding, order fulfilment and shipment consolidation are the top three most frequently outsourced 3PL services. However, the extent of 3PL use varies between manufacturing and service organisations. Results also suggest that logistics system performance is the key predictor of the overall satisfaction of 3PL users.

The key limitation of this study is that both manufacturing and services firms are collectively analysed. Future research will separately investigate the outsourcing 3PL services requirements for two categories of firms. Characterisation of 3PL usage patterns and their drivers has practical significance and strategic implications for logistics practitioners and decision-makers who opt for global outsourcing.

The implementation in the context of Bangladesh to provide an evidence base to formulate business strategies for increasing the adoption of 3PL usage is novel.

The purpose of this paper is to identify and prioritise competencies of Indonesian third-party logistics (3PL) managers from the perspective of multinational corporations (MNCs) and local firms.

Underlined by the theory of action and job performance (competency model), the study proposes a framework that consists of management, logistics, business and information and communication technology competency categories, with 15 competencies. Data are collected from five MNCs and five local 3PL firms operating in Indonesia. The analytic hierarchy process method is used to calculate the priority weights and to prioritise the competencies.

Results indicate that both the local and MNC 3PL providers emphasise logistics as the “most important” competency category. In the “moderately important” competency group, MNCs prioritise competencies in the management competency category while local firms prioritise competencies in the business competency category.

Results obtained in this study focus on 3PL firms in Indonesian businesses, which may not be applicable to other nations and other industries.

3PL firms, industry peak bodies (e.g. Indonesian Logistics Association) and education providers can benefit from incorporating the findings of this study in developing curricula for higher education and training programmes for certification designed to improve managerial competencies.

By including the perceptions of the MNCs and local 3PL providers, this study advances the literature on 3PL managerial competencies by extending such knowledge to the global environment.

A major transformation in retail logistics over the few years is backed by enormous improvements in internet technologies. It is now easy for e-retailers to entertain delivery progression, or consumers can share use-experience with future customers and thereby reducing information asymmetry. The purpose of this paper is to investigate the effect of different signals on consumer behavior in the presence of information asymmetry, in the context of online group buying (OGB) markets in China.

Based on the lemon market theory (LMT) and signaling theory, the study develops a research model of the OGB consumers’ context in China, which is validated using data from an online survey. A total of 528 responses are used for data analysis applying structural equation modeling technique.

The findings of the study show that perceived vendor quality (PVQ) and perceived product quality (PPQ) have significantly positive effects on intention to purchase from OGB websites. PVQ is associated with perceived reputation and perceived trustworthiness (PT) of vendor, and the determinants of PPQ are quality assurance information of products, and information about mer-chants. Further, PT has a mediating effect, while asymmetry of information has a moderating effect.

The research model is valid as a generic OGB model that can be investigated in other contexts to understand the generalizability of the findings. Future research is needed to incorporate additional relevant factors (e.g. price, advertising activity/investments) that may help increase the acceptability of the model to a wide range of e-commerce contexts. Two of the control variables (gender and prior internet experience) were found to be significant; this could be further examined in future studies to determine the relative impact on each causal relationship.

Whereas prior studies in the domain of consumer service proposed different signaling mechanisms that were believed to eliminate information asymmetry from a market, the study sheds light on the effectiveness of the signals in the OGB context. This is a unique effort that applies and extends LMT and signaling theory in OGB context by theorizing the associated dimensions and their causal effects.

The purpose of this paper is to identify and prioritise social responsible mechanisms in apparel supply chains to extend social responsibility from large retailers in developed countries to producers in developing nations.

A framework that consists of supplier qualification and supplier relational mechanisms as two socially responsible mechanisms, with five factors and 18 dimensions is proposed. To prioritise the dimensions, analytic hierarchy process is employed by using a case study methodology of a major Australian retailer sourcing from Bangladesh manufacturers.

Results indicate that at the mechanism level, both retailer and manufacturers perceive qualification of manufacturer as by far the most critical element compared to the relational mechanism. However, substantial differences exist at the factor level; namely, that the social factor is critical for the retailer, whereas the economic factor is critical for the manufacturer. Within the relational mechanism, evaluation helps retailers to enforce social responsibility, while manufacturers believe collaboration helps.

The major limitation of this study is the generalisation of the findings. The results obtained by focusing on a particular context in the Australian retail sector importing from Bangladesh, may not be applicable to other nations.

By highlighting the difference of opinion, this study assists managers in developing guidelines to better understand the socially responsible mechanisms in the retailer-manufacturer dyadic relationship and to propose strategies to address the differences.

This study advances the literature on inter-organisational relationship to retailer-manufacturer dyad for the implementation of social responsibility by including supplier qualification along with supplier relational mechanism.

The aim of the research is to identify and prioritise the implementation challenges of blockchain technology and suggests ways for its implementation in supply chains.

Underlined by the technology, organisational, and external environment model, a conceptual framework with four challenge categories and sixteen challenges is proposed. Data collected from three stakeholder groups with experience in the implementation of blockchain technology in India is analysed by employing an analytical hierarchy process method-based case study. Further, a criticality–effort matrix analysis is performed to group challenges and suggest ways for implementation.

The analysis revels that all stakeholders perceive complexity challenge associated with the technology, organisational structure, and external environment, and issues of compatibility with existing systems, software, and business practices to be high on the criticality and effort scales, which thus require meticulous planning to manage. Likewise, top-management support issues related to insufficient understanding of how technology fits with the organisation’s policy and benefits offered by the technology requires high effort to address this challenge.

The results were obtained by focusing on the Indian context and therefore may not apply to other nations’ contexts.

By investigating the challenges that the developers, consultants, and client organisations need to address, this study assists managers in developing plans to facilitate coordination among these organisations for successful blockchain implementation.

To the authors’ knowledge this study is the first to identify and prioritise the challenges from the perspectives of multiple stakeholder groups with experience in blockchain technology implementation.