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Article
Publication date: 2 April 2020

Xin Chen, En Xie, Mike W. Peng and Brian C. Pinkham

The purpose of this paper is to examine an important yet underexplored research question in the literature: What determines the length of contract governing buyer–supplier…

Abstract

Purpose

The purpose of this paper is to examine an important yet underexplored research question in the literature: What determines the length of contract governing buyer–supplier relationships during market transitions? The length of contract is a solid indicator of the comprehensiveness of a contract. By integrating transaction costs economics, the embeddedness perspective and the institution-based view, the paper develops a model that incorporates specific investments and perceived opportunism, strategies to select suppliers and buyer firms’ confidence in the institutional environment. It further posits how buyer firms’ dependence on suppliers moderates these relationships.

Design/methodology/approach

Data were collected nationwide via face-to-face interviews with 328 executives in 164 Chinese firms who shared information pertaining to 774 buyer–supplier contracts. A fine-grained mixed-empirical method was designed to test the proposed hypotheses, to confirm the reliability and to generalize the research findings.

Findings

All the proposed factors significantly influence the length of the contract. Results obtained through a moderated mediating model suggest that buyers with supplier-specific investments and that choose market-based selection relative to a relationship-based tend to perceive more opportunism in buyer–supplier relationships, which will lead to shortening the length of the contract. However, the buyer’s perception of opportunism will decrease when buyers perceive higher levels of confidence in their legal institutions.

Practical implications

The study discusses several practical implications for B2B managers who typically involve in interfirm exchanges as well as for emerging economies’ institutions.

Originality/value

Leveraging theoretical insights from transaction cost economics, the institution-based view and buyer–supplier relationships literature, this empirical study adds unique contributions to B2B research in general and emerging economies’ institutional literature in particular.

Details

Journal of Business & Industrial Marketing, vol. 35 no. 11
Type: Research Article
ISSN: 0885-8624

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Book part
Publication date: 10 November 2016

Cici Xiao He and Masoud Karami

This study explains the international opportunity development of SMEs from emerging economies during institutional transition. This research enriches our understanding of…

Abstract

This study explains the international opportunity development of SMEs from emerging economies during institutional transition. This research enriches our understanding of how these firms adopt different approaches to developing international opportunities when they confront the turbulent institutional environment. We develop a phase-based framework for the evolution of transitional institution for SMEs’ internationalization and the SMEs’ internationalization process in that framework. By providing an empirical case study of a privately owned SME from China, the main finding is that SMEs from emerging economies become more entrepreneurial and proactive in developing the international opportunity during the institutional transition.

Details

Global Entrepreneurship: Past, Present & Future
Type: Book
ISBN: 978-1-78635-483-9

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Book part
Publication date: 11 August 2014

Mike W. Peng

This paper points out new directions for the deepening and broadening of the institution-based view, by drawing on three streams of research with which I have been…

Abstract

This paper points out new directions for the deepening and broadening of the institution-based view, by drawing on three streams of research with which I have been involved recently: (1) outward foreign direct investment from emerging economies, (2) bankruptcy laws and entrepreneurship development, and (3) institution-based research focusing on Africa. Such deepening has been accomplished by enhancing our institution-based understanding of foreign direct investment with a focus on emerging multinationals, while broadening has been done both substantively by probing into the impact of bankruptcy laws on entrepreneurship development around the world and geographically by calling for enhanced research attention on Africa via an institution-based lens.

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Multidisciplinary Insights from New AIB Fellows
Type: Book
ISBN: 978-1-78441-038-4

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Article
Publication date: 28 October 2013

Xinming He and Yingqi Wei

Drawing on the resource-based view and network theory, the purpose of this paper is to investigate the role of external networks (ENs) and absorptive capacity (AC) in…

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Abstract

Purpose

Drawing on the resource-based view and network theory, the purpose of this paper is to investigate the role of external networks (ENs) and absorptive capacity (AC) in export market location decision of emerging economy firms (EEFs) and the performance implication of this decision.

Design/methodology/approach

This study employs structural equation modeling to test three hypotheses: first, ENs influence an EEF manager's propensity to enter culturally/psychically distant markets for exports. Distant markets are more likely to be chosen by managers of firms with abundant ENs. Second, AC moderates this network-market location relationship. Third, superior performance results from the fit between managers’ propensity to enter a market and firms’ levels of ENs and AC.

Findings

An analysis of 196 Chinese exporting firms supports the hypotheses.

Research limitations/implications

Though the theoretical discussion is general, the empirical context is specific to Chinese export manufacturers. Replicating the study is necessary in different contexts.

Practical implications

The study identifies to managers the importance of external (i.e. ENs) and internal resources and capabilities (i.e. AC) and linkages between resources and capabilities, strategy and performance.

Originality/value

The study is novel in conceptually addressing the role of ENs and AC in firms’ decision making and performance and in testing hypotheses with robust methodology and data.

Details

International Marketing Review, vol. 30 no. 6
Type: Research Article
ISSN: 0265-1335

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Article
Publication date: 20 July 2015

George O. White III, Amon Chizema, Anne Canabal and Mark J. Perry

The purpose of this paper is to draw from organizational ecology and institutional theory, the authors suggest that there will be a curvilinear relationship between legal…

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1613

Abstract

Purpose

The purpose of this paper is to draw from organizational ecology and institutional theory, the authors suggest that there will be a curvilinear relationship between legal system uncertainty and foreign direct investment (FDI) attraction in Southeast Asia. The authors extend theory by arguing that this is because uncertainty will provide opportunities for FDI that seek this form of operating environment, leveraging legal system uncertainty as a basis for competitive advantage.

Design/methodology/approach

The authors test and find support for the hypotheses using FDI data from nine Southeast Asian countries for the years 1995-2005.

Findings

In this paper, the authors hypothesize and find that the relationship between legal system uncertainty and FDI attraction is curvilinear in nature, such that FDI attraction decreases with legal system uncertainty down to an inflection point, but then increases beyond this point; and that the relationship between legal system uncertainty and FDI attraction is moderated by government intervention in the host country economy, such that the strength of this relationship is greater when government intervention is high rather than when it is low. Implications of the findings and suggestions for future inquiry are presented.

Originality/value

Conventional wisdom suggests that legal system uncertainty will negatively affect FDI attraction. However, to date, research on the effects of legal system uncertainty on FDI attraction in emerging markets has received very little attention. The aim of this research study is to shed new light on how, under certain conditions, legal system uncertainty will attract FDI in Southeast Asia.

Details

International Journal of Emerging Markets, vol. 10 no. 3
Type: Research Article
ISSN: 1746-8809

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Article
Publication date: 1 May 2008

Kiran M. Ismail, David L. Ford and Manuel Portugal Ferreira

Firms’ strategic responses to environmental shifts under conditions of uncertainty in the wake of institutional changes are far from understood. We utilize data from over…

Abstract

Firms’ strategic responses to environmental shifts under conditions of uncertainty in the wake of institutional changes are far from understood. We utilize data from over 1,200 firms in seven Central Eurasian transition economies to examine the extent to which institutional inefficiency is predictive of the response strategies employed by the firms in their environments. We also examine how firms maneuver in the environment through an innovative effort in developing new products, opening new plants or upgrading product lines and technologies. Our results seem indicative of both an adaptive and an innovative effort by firms in these countries. The results are discussed with respect to empirical limitations and future research avenues in these transition economies.

Details

Journal of Asia Business Studies, vol. 2 no. 2
Type: Research Article
ISSN: 1558-7894

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Article
Publication date: 1 April 2020

Binghai Zhou and Zhexin Zhu

This paper aims to investigate the scheduling and loading problems of tow trains for mixed-model assembly lines (MMALs). An in-plant milk-run delivery model has been…

Abstract

Purpose

This paper aims to investigate the scheduling and loading problems of tow trains for mixed-model assembly lines (MMALs). An in-plant milk-run delivery model has been formulated to minimize total line-side inventory for all stations over the planning horizon by specifying the departure time, parts quantity of each delivery and the destination station.

Design/methodology/approach

An immune clonal selection algorithm (ICSA) combined with neighborhood search (NS) and simulated annealing (SA) operators, which is called the NSICSA algorithm, is developed, possessing the global search ability of ICSA, the ability of SA for escaping local optimum and the deep search ability of NS to get better solutions.

Findings

The modifications have overcome the deficiency of insufficient local search and deepened the search depth of the original metaheuristic. Meanwhile, good approximate solutions are obtained in small-, medium- and large-scale instances. Furthermore, inventory peaks are in control according to computational results, proving the effectiveness of the mathematical model.

Research limitations/implications

This study works out only if there is no breakdown of tow trains. The current work contributes to the in-plant milk-run delivery scheduling for MMALs, and it can be modified to deal with similar part feeding problems.

Originality/value

The capacity limit of line-side inventory for workstations as well as no stock-outs rules are taken into account, and the scheduling and loading problems are solved satisfactorily for the part distribution of MMALs.

Details

Assembly Automation, vol. 40 no. 3
Type: Research Article
ISSN: 0144-5154

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Article
Publication date: 6 December 2020

Binghai Zhou, Xiujuan Li and Yuxian Zhang

This paper aims to investigate the part feeding scheduling problem with electric vehicles (EVs) for automotive assembly lines. A point-to-point part feeding model has been…

Abstract

Purpose

This paper aims to investigate the part feeding scheduling problem with electric vehicles (EVs) for automotive assembly lines. A point-to-point part feeding model has been formulated to minimize the number of EVs and the maximum handling time by specifying the EVs and sequence of all the delivery tasks.

Design/methodology/approach

First, a mathematical programming model of point-to-point part feeding scheduling problem (PTPPFSP) with EVs is presented. Because the PTPPFSP is NP-hard, an improved multi-objective cuckoo search (IMCS) algorithm is developed with novel search strategies, possessing the self-adaptive Levy flights, the Gaussian mutation and elite selection strategy to strengthen the algorithm’s optimization performance. In addition, two local search operators are designed for deep optimization. The effectiveness of the IMCS algorithm is verified by dealing with the PTPPFSP in different problem scales.

Findings

Numerical experiments are used to demonstrate how the IMCS algorithm serves as an efficient method to solve the PTPPFSP with EVs. The effectiveness and feasibility of the IMCS algorithm are validated by approximate Pareto fronts obtained from the instances of different problem scales. The computational results show that the IMCS algorithm can achieve better performance than the other high-performing algorithms in terms of solution quality, convergence and diversity.

Research limitations/implications

This study is applicable without regard to the breakdown of EVs. The current research contributes to the scheduling of in-plant logistics for automotive assembly lines, and it could be modified to cope with similar part feeding scheduling problems characterized by just-in-time (JIT) delivery.

Originality/value

Both limited electricity capacity and no earliness and tardiness constraints are considered, and the scheduling problem is solved satisfactorily and innovatively for an efficient JIT part feeding with EVs applied to in-plant logistics.

Details

Assembly Automation, vol. 41 no. 1
Type: Research Article
ISSN: 0144-5154

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Book part
Publication date: 27 August 2014

Irem Demirkan and David L. Deeds

How do ego-networks evolve? How does such evolution affect firms’ innovation output? This chapter uses a longitudinal sample of firms in the biotechnology industry to…

Abstract

How do ego-networks evolve? How does such evolution affect firms’ innovation output? This chapter uses a longitudinal sample of firms in the biotechnology industry to address these questions. We use social network theory to develop a model of the structure and dynamics of firms’ interorganizational research collaboration ego-networks. Using novel longitudinal methods, this chapter demonstrates how research collaboration ego-networks in the biotechnology industry change over time and how this evolution affects focal firms’ subsequent innovative output. The model is tested on a sample of 482 biotechnology firms over a span of 17 years (1990–2006). The results indicate the significant impacts of ego-network size, ego-network growth, and the inclusion of new members in the ego-network on the innovation output of biotechnology firms. Our results also suggest that enlarging ego-networks by adding new and diverse members presents significant management challenges.

Details

Understanding the Relationship Between Networks and Technology, Creativity and Innovation
Type: Book
ISBN: 978-1-78190-489-3

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Article
Publication date: 14 May 2020

Di Wu, Lei Wu, Alexis Palmer, Dr Kinshuk and Peng Zhou

Interaction content is created during online learning interaction for the exchanged information to convey experience and share knowledge. Prior studies have mainly focused…

Abstract

Purpose

Interaction content is created during online learning interaction for the exchanged information to convey experience and share knowledge. Prior studies have mainly focused on the quantity of online learning interaction content (OLIC) from the perspective of types or frequency, resulting in a limited analysis of the quality of OLIC. Domain concepts as the highest form of interaction are shown as entities or things that are particularly relevant to the educational domain of an online course. The purpose of this paper is to explore a new method to evaluate the quality of OLIC using domain concepts.

Design/methodology/approach

This paper proposes a novel approach to automatically evaluate the quality of OLIC regarding relevance, completeness and usefulness. A sample of OLIC corpus is classified and evaluated based on domain concepts and textual features.

Findings

Experimental results show that random forest classifiers not only outperform logistic regression and support vector machines but also their performance is improved by considering the quality dimensions of relevance and completeness. In addition, domain concepts contribute to improving the performance of evaluating OLIC.

Research limitations/implications

This paper adopts a limited sample to train the classification models. It has great benefits in monitoring students’ knowledge performance, supporting teachers’ decision-making and even enhancing the efficiency of school management.

Originality/value

This study extends the research of domain concepts in quality evaluation, especially in the online learning domain. It also has great potential for other domains.

Details

The Electronic Library , vol. 38 no. 3
Type: Research Article
ISSN: 0264-0473

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