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1 – 10 of 702Chun-Ping Yeh, Yi-Chi Hsiao and Sebastian Gebhadt
The existing research on institutional distance implicitly posits the monotonic effect of contextual differences on the multinational enterprise (MNE) behaviors (e.g. entry mode…
Abstract
Purpose
The existing research on institutional distance implicitly posits the monotonic effect of contextual differences on the multinational enterprise (MNE) behaviors (e.g. entry mode, research and development (R&D) investment and subsidiary reverse knowledge transfer). Namely, MNEs from the same home to the same host countries are thought to have homogenous perceptions on the institutional influences and thus behave similarly. However, the authors argue that MNEs, due to their different performance aspirations in host countries, will have heterogenous perceptions on such contextual influences and thereafter behave differently.
Design/methodology/approach
Drawing on the behavioral theory of the firm and employing a unique sample comprised of 140 Chinese MNEs' foreign direct investments (FDIs) in Taiwan in 2017, the authors developed and tested the hypotheses.
Findings
The authors found that the emerging-market MNEs' (EMNEs’) perceptions of higher local institutional difficulties will be strengthened when their local performances are below their aspiration levels, making them more risk-taking. Nevertheless, EMNEs' local experiences and local equity-based partnerships will mitigate such negative perceptions, mitigating their risk-taking orientation.
Originality/value
The empirical findings make contributes to the international business (IB) literature by extending knowledge on the determinants and conditions of the heterogeneity in EMNEs' behavioral orientations when in face of the same institutional distance. The authors also provide managerial implications by showing that EMNEs' firm-specific resources (i.e. local experience and local equity-based partnership) will alter their perceptions of local institutional difficulties, leading to different behavioral orientations.
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This paper examines how firms respond to local government’s environment initiatives through textual analysis of government work reports (GWRs). This study aims to provide insights…
Abstract
Purpose
This paper examines how firms respond to local government’s environment initiatives through textual analysis of government work reports (GWRs). This study aims to provide insights into how firms strategically respond to government’s environmental initiatives through their disclosure and investment practices.
Design/methodology/approach
This study uses a textual analysis of GWRs from China’s provinces. The frequency and change rate of environmental keywords in these reports are used as a measure of the government’s environmental initiatives.
Findings
This study finds that environmental disclosure scores in environmental, social and governance (ESG) reports increase with the frequency or change rate of environmental keywords in provincial GWRs. This effect is more pronounced for non-state-owned enterprises, firms in highly marketized provinces or those listed in a single capital market. However, there is no significant relationship between firms’ environmental investments and government initiatives, except for cross-listed firms in provinces with consistently high frequency of environmental keywords in their GWRs.
Practical implications
The findings indicate that government environmental initiatives can shape firms’ disclosure behaviors, yet have limited influence on investment decisions, suggesting that environmental disclosure could potentially be opportunistic. This underscores the need for more effective strategies to stimulate firms’ environmental investments.
Originality/value
This study provides valuable insights into the differential impacts of government environmental initiatives on firms’ disclosure and investment behaviors, contributing to the understanding of corporate environmental responsibility in the context of government initiatives.
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Win Myat Cho and Bonaventura H.W. Hadikusumo
The objectives of this paper are to examine the impact of psychological contract on project performance in private construction projects and to investigate if the positive effect…
Abstract
Purpose
The objectives of this paper are to examine the impact of psychological contract on project performance in private construction projects and to investigate if the positive effect of psychological contract on project performance can be mediated by inter-organisational teamwork.
Design/methodology/approach
Multiple regression analysis and mediation analysis were applied in this study to conduct the proposed hypotheses. Data were collected via questionnaire surveys from the construction professionals working for contractor firms on private construction projects.
Findings
The result of the multiple regression analysis indicated that psychological contract between contractors and owners is significantly related with project performance in construction projects. This study examined five psychological contract components, but the most important element was found as trust which can influence every aspect of project performance. Fairness is another key factor that can improve project performance in terms of budget and quality. Further, the findings of the mediation analysis revealed that inter-organisational teamwork has a mediating effect on the relationship between psychological contract and project performance.
Originality/value
This paper presents the important role of psychological contract between contractor and owner organizations in construction projects that can affect project performance. The study also highlights the significance of inter-organisational teamwork as a mediator to the relationship between psychological contract and project performance.
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Kavita Bhangale, Kanchan Joshi, Ruchita Gupta and Bhaskar Gardas
Project complexity (PC) governs project success, but the project management literature primarily focuses on performance measures and rarely examines the complexity factors…
Abstract
Purpose
Project complexity (PC) governs project success, but the project management literature primarily focuses on performance measures and rarely examines the complexity factors, especially for megaprojects. This paper aims to determine the most significant complexity factors for the railway megaprojects in India.
Design/methodology/approach
A mixed approach using the Delphi and best–worst method (BWM) helped to identify, validate and determine the most critical factors that require intervention to diminish variance from project performance.
Findings
The BWM resulted in stakeholder management, followed by organizational and technological complexity as significant complexity factors, and the varied interests of the stakeholder as the most important among the 40 subfactors.
Practical implications
The finding indicates the necessity for strategic, tactical and operational-level interventions to effectively manage the complexity affecting project efficiency because of the varied stakeholders. This paper will guide the project and general managers to prioritize their resources to handle complexity for effective project performance measured in terms of time, cost and quality and help them make strategic decisions. The research findings of this study are expected to help researchers and practitioners in better planning and smoother execution of projects. In addition, this study would help the researchers formulate policies and strategies for better handling of the projects.
Originality/value
This study adds significant value to the body of knowledge related to PC in megaprojects in developing countries. The result of the investigation underlined that nine complexity factors and seven unique subfactors, namely, the sustainable environment, timely availability of information, communication in both directions, interdepartmental dependency and coordination, design, statutory norms, site challenges, socioeconomic conditions, the tendency of staff to accept new technology and the frequent changes in the requirements of stakeholders are significant in railway megaprojects. The BWM is applied to rank the complexity factors and subfactors in the case area.
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This article aims to reveal the factors influencing the sustainable development of mobile e-commerce from both user and operational perspectives. It fills the gap in qualitative…
Abstract
Purpose
This article aims to reveal the factors influencing the sustainable development of mobile e-commerce from both user and operational perspectives. It fills the gap in qualitative research on the sustainable development of artificial intelligence (AI) technology in mobile e-commerce based on the grounded theory. This study provides valuable insights and inspiration for sustainable development in this field and lays the theoretical foundation and research reference for future studies.
Design/methodology/approach
Based on the grounded theory (GT), interview method was used to conduct the study.
Findings
The impact of AI applications on mobile e-commerce is mainly reflected in three stages of the customer shopping process. They are pre-shopping, mid-shopping and after-shopping AI services and each of the three stages has its own separate dimensions that need attention. The study and its persistence aspects are discussed.
Practical implications
The results of this study can provide forward-looking suggestions and paths for the construction and optimization of future e-commerce platforms, contribute to the sustainable development of e-commerce and contribute to the sustainable and healthy growth of the social economy.
Originality/value
This study proposes sustainable development measures for the application of AI in mobile e-commerce, from operation to supervision, which is an important reference for promoting coordinated and rapid socio-economic development.
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Honglei Lia Sun and Pnina Fichman
This study aims to explore the evolutionary pattern of discussion topics over time in an online depression self-help community.
Abstract
Purpose
This study aims to explore the evolutionary pattern of discussion topics over time in an online depression self-help community.
Design/methodology/approach
Using the Latent Dirichlet Allocation (LDA) method, the authors analyzed 17,534 posts and 138,567 comments posted over 8 years on an online depression self-help group in China and identified the major discussion topics. Based on significant changes in the frequency of posts over time, the authors identified five stages of development. Through a comparative analysis of discussion topics in the five stages, the authors identified the changes in the extent and range of topics over time. The authors discuss the influence of socio-cultural factors on depressed individuals' health information behavior.
Findings
The results illustrate an evolutionary pattern of topics in users' discussion in the online depression self-help group, including five distinct stages with a sequence of topic changes. The discussion topics of the group included self-reflection, daily record, peer diagnosis, companionship support and instrumental support. While some prominent topics were discussed frequently in each stage, some topics were short-lived.
Originality/value
While most prior research has ignored topic changes over time, the study takes an evolutionary perspective of online discussion topics among depressed individuals. The authors provide a nuanced account of the progression of topics through five distinct stages, showing that the community experienced a sequence of changes as it developed. Identifying this evolutionary pattern extends the scope of research on depression therapy in China and offers a deeper understanding of the support that individuals with depression seek, receive and provide online.
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Online advertising becomes an essential tool to reach the target audience. One of the most widely used strategies is re-targeting. Firstly, this study explores the impact of…
Abstract
Purpose
Online advertising becomes an essential tool to reach the target audience. One of the most widely used strategies is re-targeting. Firstly, this study explores the impact of ethics, privacy and ads' perceived benefits (ad effectiveness and ad relevance) on consumers' attitudes toward online advertising. Secondly, the study investigates the mediating effect of attitudes toward re-targeting online advertising on consumers' purchase intentions. Finally, the study investigates the moderating effect of the perceived ethicality of re-targeting online advertising on consumers' purchase intentions.
Design/methodology/approach
Participants (n = 307) were recruited through an online survey platform (MTurk) in the USA. The sample consisted of 65% male and 35% female respondents. The majority are aged 25–34 years, followed by 35–44 years (20%), 45–54 years (14%), 18–24 years (8%) and 55 years and older (6%).
Findings
The results show that ad effectiveness and ad relevance influenced consumers' attitudes toward re-targeting. This study shows that consumers are willing to trade their privacy for better search quality. Moreover, perceptions toward the ethicality of re-targeting ads moderated the relationship between consumers' attitudes and purchase intentions.
Research limitations/implications
This study will make several contributions. First, the study will extend the consequential theory in the context of online advertising. Second, the study will assist companies in using re-targeting strategies. The results will reveal which factor is the most important factor impacting consumers' attitudes toward re-targeting strategies.
Originality/value
This is one of the first few papers investigating consumers' perceptions of the ethicality of re-targeting online advertising.
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Ines Gharbi, Mounira Hamed-Sidhom and Khaled Hussainey
Prior research shows that religiosity affects the degree of managers' risk aversion. As a result, religious firms are less likely to invest in R&D activities. Moreover, US GAAP…
Abstract
Purpose
Prior research shows that religiosity affects the degree of managers' risk aversion. As a result, religious firms are less likely to invest in R&D activities. Moreover, US GAAP treats these investments as expenses. For this reason, religious firms have fewer expenses in their earnings and are less likely to be in financial distress.
Design/methodology/approach
Data are collected from Worldscope and the Churches and Church Membership files of the American Religion Data Archive website from 1985 to 2018. With 18,199 observations in US context, the authors used the marginal effect to test the mediating effect of R&D accounting treatment.
Findings
The authors find that the marginal effect of religiosity on financial distress with US GAAP is higher than the marginal effect of religiosity on financial distress with capitalization of R&D costs, which means that accounting treatment can explain the relation between religiosity and financial distress in the US context.
Research limitations/implications
The authors used linear interpolation and linear extrapolation data to be able to conduct this research over a period of 1985–2018. For future researches, the authors propose to test other factors which can explain the relationship between religiosity and financial distress based on the ethics element.
Practical implications
These results should be of interest to regulators because treating R&D activities as expenses can destroy the accounting performance of firms that prefer investing in risky projects. This favoritism prevents the comparison between two firms in the same industry with different risk-taking behaviors. This problem is more prevalent if the authors have two firms with different ratios of religiosity. This paper suffers from a major limitation related to data availability.
Originality/value
This may be the first study that investigates why religious firms are less likely to be in financial distress. This paper notes that religious firms are less likely to be in financial distress because their conservative behavior towards R&D activities coincides with the conservative R&D accounting treatment. In fact, the mismatch between expenses and revenues from R&D activities can cause financial distress.
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Dara Sruthilaya, Aneetha Vilventhan and P.R.C. Gopal
The purpose of this research is to develop a project complexity index (PCI) model using the best and worst method (BWM) to quantitatively analyze the impact of project…
Abstract
Purpose
The purpose of this research is to develop a project complexity index (PCI) model using the best and worst method (BWM) to quantitatively analyze the impact of project complexities on the performance of metro rail projects.
Design/methodology/approach
This study employed a two-phase research methodology. The first phase identifies complexities through a literature review and expert discussions and categorizes different types of complexities in metro rail projects. In the second phase, BWM, a robust multi-criteria decision-making (MCDM) technique, was used to prioritize key complexities, and a PCI model was developed. Further, the developed PCI was validated through case studies, and sensitivity analysis was performed to check the accuracy and applicability of the developed PCI model.
Findings
The analysis revealed that location complexity exerted the most substantial influence on project performance, followed by environmental, organizational, technological and contractual complexities. Sensitivity analysis revealed the varying impacts of complexity indices on the overall project complexity.
Practical implications
The study's findings offer a novel approach for measuring project complexity's impact on metro rail projects. This allows stakeholders to make informed decisions, allocate resources efficiently and plan strategically.
Originality/value
The existing studies on project complexity identification and quantification were limited to megaprojects other than metro rail projects. Efforts to quantitatively study and analyze the impact of project complexity on metro rail projects are left unattended. The developed PCI model and its validation contribute to the field by providing a definite method to measure and manage complexity in metro rail projects.
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Yan Han, Yanqi Sun, Kevin Huang and Cheng Xu
This study aims to examine the complex effects of foreign direct investment (FDI) on China’s agricultural total factor productivity (TFP) from 2005 to 2020. It also explores the…
Abstract
Purpose
This study aims to examine the complex effects of foreign direct investment (FDI) on China’s agricultural total factor productivity (TFP) from 2005 to 2020. It also explores the role of absorptive capacity as a moderating factor during this period.
Design/methodology/approach
Employing provincial panel data from China, this research measures agricultural TFP using the Stochastic Frontier Approach (SFA)-Malmquist method. The impact of FDI on agricultural productivity is further analyzed using a nondynamic panel threshold model.
Findings
The results highlight technological progress as the main driver of agricultural TFP growth in China. Agricultural FDI (AFDI) seems to impede TFP development, whereas nonagricultural FDI (NAFDI) shows a distinct positive spillover effect. The study reveals a threshold in absorptive capacity that affects both the direct and spillover impacts of FDI. Provinces with higher absorptive capacity are less negatively impacted by AFDI and more likely to benefit from FDI spillovers (FDISs).
Originality/value
This study provides new insights into the intricate relationship between FDI, absorptive capacity and agricultural productivity. It underscores the importance of optimizing technological progress and research and development (R&D) to enhance agricultural productivity in China.
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