Shuang Ma, Dahui Li, Yonggui Wang and Myat Su Han
This study aims to examine how three types of information technology (IT) capability (supplier technological capability, customer technology-sensing capability and relatedness of…
Abstract
Purpose
This study aims to examine how three types of information technology (IT) capability (supplier technological capability, customer technology-sensing capability and relatedness of IT infrastructure) facilitate knowledge acquisition by the customer when the supplier is dominant in the supplier-customer relationship.
Design/methodology/approach
The unit of analysis was project. The authors designed two different questionnaires that were responded by the project manager of an enterprise resource planning (ERP) software supplier and the contact person of the customer organization in the same project, respectively. The two questionnaires were matched by means of project name. The final sample included a total of 136 projects. The authors used ordinary least squares to test the research hypotheses.
Findings
The authors found that supplier power advantage negatively influenced knowledge acquisition by the customer. The three types of IT capability did not have direct impacts on knowledge acquisition. The moderating effect of customer technology-sensing capability was not significant either. However, supplier technological capability and relatedness of IT infrastructure attenuated the negative effect of supplier power advantage on knowledge acquisition, indicating that both factors promoted knowledge acquisition.
Originality/value
Knowledge acquisition is important for the success of software implementation in the supplier-customer relationship. There is limited evidence in the literature on how to apply externally oriented IT capability to enhance knowledge management, improve knowledge acquisition and manage the business relationship that is typically dominated by the software supplier. The authors provide evidence to examine related issues.
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Yilin Chen, Yilin Yin, Glenn J. Browne and Dahui Li
Building information modeling (BIM) is recognized as a major innovation in the architecture, engineering, and construction (AEC) industry. Understanding the factors that influence…
Abstract
Purpose
Building information modeling (BIM) is recognized as a major innovation in the architecture, engineering, and construction (AEC) industry. Understanding the factors that influence the AEC’s adoption of BIM will benefit the research and practice of BIM. The paper aims to discuss these issues.
Design/methodology/approach
This study provides empirical evidence for the accumulated knowledge of BIM adoption by examining the context of Chinese construction industry. Based on the technology-organization-environment (TOE) framework in the innovation diffusion literature, the authors develop a research model that integrates the critical success factors related to the technology of BIM, the construction company and the environment in Chinese construction industry. The authors collected two different data sets from engineering consulting firms and construction firms in China, and conducted rigorous analyses using a sophisticated statistical approach.
Findings
The authors found that the relative advantage of BIM was a major factor that enabled BIM adoption, while the complexity of BIM was an inhibiter. In addition, management support was also a significant antecedent of BIM adoption. However, organizational readiness was significant for engineering consulting firms but not for construction firms. Surprisingly, the authors did not find consistent significant impacts of any environmental factors. Last, younger firms were more likely to adopt BIM.
Originality/value
One of the first to apply the TOE framework to integrate three groups of factors that may explain BIM adoption in China. Such a comprehensive framework provides a much broader perspective of BIM adoption to evaluate the impacts of different antecedent factors. The authors conducted an empirical study based on survey data collected from two different types of companies, i.e., engineering consulting firms and construction firms, representing the two parties in the principal-agent relationship of a construction project. One of the first to apply a sophisticated statistical approach, i.e., partial least squares, to analyze the data in the BIM literature.
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Fujun Lai, Joe Hutchinson, Dahui Li and Changhong Bai
The purpose of this study is to assess the SERVQUAL instrument reliability and validity and apply the SERVQUAL instrument in China's mobile communication setting.
Abstract
Purpose
The purpose of this study is to assess the SERVQUAL instrument reliability and validity and apply the SERVQUAL instrument in China's mobile communication setting.
Design/methodology/approach
A mail survey was conducted at a major mobile communications company in mainland China. Instrument reliability and validity were examined. Exploratory and confirmatory factor analyses were conducted.
Findings
The adapted SERVQUAL instrument is a valid and valuable tool to measure service quality. Service convenience is an important additional dimension of service quality in China's mobile communications setting. The dimension of “empathy” may need revision.
Research limitations/implications
Future research involves assessment of the service convenience dimension and examination of the relative importance of SERVQUAL dimensions in other settings.
Practical implications
SERVQUAL is a valid instrument to measure service quality in China's mobile communications setting. Providing convenience to customers also is critical for service quality improvement. Improvements to some SERVQUAL dimensions may be more beneficial than improvements to others.
Originality/value
This is a pioneer study of the SERVQUAL scale in China's mobile communications setting. This study provides useful insights and guidance for managers to measure and improve service quality.
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Technology‐based new ventures (TNVs) – which rely on entrepreneurial activities based on science and technology applications in newly created organizations to be successful – are…
Abstract
Purpose
Technology‐based new ventures (TNVs) – which rely on entrepreneurial activities based on science and technology applications in newly created organizations to be successful – are important to current economic growth and innovation. Past research has looked at the importance of networks and social capital to TNV performance. Yet these studies rarely provide theoretical predictions of the attributes of network ties. This paper aims to bring TNV theory up to date with respect to twenty‐first century adaptation and complexity conditions.
Design/methodology/approach
The paper draws on new developments in complexity science (specifically scalability and scale‐free theories) and long‐standing first principles of efficacious adaptation to develop TNV‐relevant theory offering an alternative perspective on the impact of network ties on the performance of TNV.
Findings
It is argued that TNVs can achieve superior performance by developing and building moderate numbers of short‐term (and thereby weak) network ties. The theorizing calls for a new research agenda pertaining to TNVs, which are delineated. The paper also develops four propositions as part of setting forth an agenda for future research.
Originality/value
The paper updates the entrepreneurship and social network literatures by reshaping them with respect to the nonlinear order‐creation dynamics of complexity theory and scale‐free dynamics of econophysics. It focuses on the aspects of network theory that are especially likely to set in motion the complex adaptive systems dynamics essential to TNV performance. Therefore, the conceptual framework contributes to TNVs as a guide to achieving higher performance, effectiveness, and longevity in a rapidly changing world.
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Ellen Wauters, Verónica Donoso and Eva Lievens
This article aims to reflect on possible ways to optimise current ways to deliver information provision to make it more transparent to users. In particular, this article will…
Abstract
Purpose
This article aims to reflect on possible ways to optimise current ways to deliver information provision to make it more transparent to users. In particular, this article will refer to the benefits (and challenges) of using more user-centred approaches to inform users in a more transparent way.
Design/methodology/approach
In this paper we analyse individual, as well as contextual factors (e.g. cognitive differences, time constraints, specific features of social networking sites [SNS] platforms) which may have an impact on the way users deal with Terms of Use, privacy policies and other types of information provision typically made available on SNS platforms. In addition, possible ways of improving current practices in the field are discussed. In particular, the benefits (and challenges) of a user-centred approach have been referred to when it comes to informing users in a way that is more meaningful to them. Finally, it is discussed how user-centred approaches can act as mechanisms to increase transparency in SNS environments and how (alternative) forms of regulation could benefit from such an approach.
Findings
The authors believe that it is necessary to start focussing on users/consumers’ needs, expectations and values to develop visualisation tools that can help make law (more) meaningful to users/consumers by giving them a better insight into their rights and obligations and by guiding them in making truly informed decisions regarding their online choices and behaviour.
Originality/value
By looking at different techniques such as visual design and the timing of information, the article contributes to the discussion on how people can be made more aware of legal documents and actually read them.
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Min Zhao, Fuan Li, Francis Cai, Haiyang Chen and Zheng Li
This study aims to examine the ability of Generative Pre-trained Transformer 4 (GPT-4), one of the most powerful large language models, to generate a literature review for…
Abstract
Purpose
This study aims to examine the ability of Generative Pre-trained Transformer 4 (GPT-4), one of the most powerful large language models, to generate a literature review for peer-reviewed journal publications. The objective is to determine whether business scholars can rely on GPT-4’s assistance with literature reviews and how the nature of human–artificial intelligence (AI) interaction may affect the quality of the reviews generated by GPT-4.
Design/methodology/approach
A survey of 30 experienced researchers was conducted to assess the quality of the literature reviews generated by GPT-4 in comparison with a human-authored literature review published in a Social Science Citation Index (SSCI) journal. The data collected were then analyzed with analysis of variance to ascertain whether we may trust GPT-4’s assistance in writing literature reviews.
Findings
The statistical analysis reveals that when a highly structured approach being used, GPT-4 can generate a high-quality review comparable to that found in an SSCI journal publication. However, when a less structured approach is used, the generated review lacks comprehensive understating and critical analysis, and is unable to identify literature gaps for future research, although it performed well in adequate synthesis and quality writing. The findings suggest that we may trust GPT-4 to generate literature reviews that align with the publication standards of a peer-reviewed journal when using a structured approach to human–AI interaction.
Research limitations/implications
The findings suggest that we may trust GPT-4 to generate literature reviews that align with the publication standards of a peer-reviewed journal when using a structured approach to human–AI interaction. Nonetheless, cautions should be taken due to the limitations of this study discussed in the text.
Originality/value
By breaking down the specific tasks of a literature review and using a quantitative rather than qualitative assessment method, this study provides robust and more objective findings about the ability of GPT-4 to assist us with a very important research task. The findings of this study should enhance our understanding of how GPT-4 may change our research endeavor and how we may take a full advantage of the advancement in AI technology in the future research.
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Ying Zheng, Daying Yan and Bing Ren
This paper aims to propose an integrated framework combining the cost-reduction rationale and the institution-leveraging rationale to explain how institutional distance, both…
Abstract
Purpose
This paper aims to propose an integrated framework combining the cost-reduction rationale and the institution-leveraging rationale to explain how institutional distance, both formal and informal, influences emerging multinational enterprises (EMNEs)’ foreign direct investment (FDI) location choice. This paper also explores the moderating role of EMNEs’ FDI experience and strategic intent on value chain positioning as a reflection of firm heterogeneities, on the link between institutional distance and location choice.
Design/methodology/approach
This paper tests the hypotheses based on a firm-level longitudinal data set of FDI by Chinese EMNEs. The unique data are manually collected from Chinese companies listed on Shenzhen and Shanghai Stock Exchanges, composed of 250 FDI entries of 122 manufacturing firms from 2006 to 2010. The conditional logit model is used to estimate the proposed main effect and moderating effect.
Findings
Cultural distance does not deter Chinese EMNEs’ entrance in general, but firms investing in low value-added manufacturing subsidiaries are more likely to choose culturally similar countries than those investing in high value-added subsidiaries such as in upstream R&D and downstream marketing. Formal institutional distance with positive direction promotes Chinese EMNEs’ entrance, and this effect is enhanced when firms have less FDI experience and have the strategic intent to invest in high value-added subsidiaries.
Originality/value
This paper contributes to the current literature by identifying a holistic view of the institutional influences on FDI location choice of EMNEs and revealing how firm-level heterogeneities, particularly FDI experience and strategic intent of subsidiary value chain positioning, shape the boundary conditions of the institutional effects in different ways.
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Ying Xu, Jianyu Zhang, Rui Chi and Guangkuan Deng
Chatbots are increasingly used in online retail settings and are becoming a powerful tool for brands to engage customers. However, consumers’ satisfaction with these chatbots is…
Abstract
Purpose
Chatbots are increasingly used in online retail settings and are becoming a powerful tool for brands to engage customers. However, consumers’ satisfaction with these chatbots is mixed. Thus, this paper aims to investigate how using a social- versus task-oriented anthropomorphic communication style can improve customer satisfaction.
Design/methodology/approach
The authors explore the link between the anthropomorphic communication style use and customer perceptions/customer satisfaction in online customer service interactions. Two experiment scenarios were developed to test these links.
Findings
Overall, using a social-oriented communication style boosts customer satisfaction. Warmth perception of the chatbot mediates this effect, while chatbot’s anthropomorphised role (servant versus partner) moderates this effect.
Originality/value
This paper enriches the bilateral communication literature by extending the investigation on communication style effects to chatbot service interactions and revealing the psychological process driving the impacts. It also adds to the existing literature on chatbots as a customer service and contributes to the prominent topic examining how consumers react to artificial intelligence that is used to establish and maintain a relationship with them. Additionally, the authors also make contribution to the warmth and competence literature by demonstrating that customers can interpret social cues in chatbot service interactions mainly based on the warmth dimension. Thus, the authors further add to the growing chatbot humanness perception literature and respond to the calls for investigating more anthropomorphic design cues to enhance chatbot humanness. Finally, the authors also provide a way to help reconcile seemingly conflicting prior findings.
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Xuzhong Qin, Zongshui Wang, Hong Zhao and Lars Bo Kaspersen
This paper aims to help scholars know about the focus and frontier in the field of corporate social responsibility (CSR). Although related research in CSR started 60 years ago…
Abstract
Purpose
This paper aims to help scholars know about the focus and frontier in the field of corporate social responsibility (CSR). Although related research in CSR started 60 years ago, there is not much systematical literature review on CSR in recent years. This paper applies scientometric method, especially co-word analysis, to explore the frontier and focus of CSR in the twenty-first century, based on the articles from 2001 to 2014 in SSCI database.
Design/methodology/approach
In this paper, the authors first use the scientometric method and co-word analysis for keywords filtering and apply social network methodology to investigate the networks of high-frequency keywords and high-frequency authors.
Findings
The authors summarize the current state of CSR research in two aspects. By co-word analysis of high-frequency keywords, the findings show that the focus and frontier are highly related to CSR. Based on the findings of social network analysis, this paper concludes four important research directions and possible future research of CSR.
Originality/value
The findings in this paper will help scholars of CSR or other related fields to realize the focus and frontier of CSR and provide some guidance for their future research.