Fei Zhu, Katrin Burmeister-Lamp and Dan Kai Hsu
The purpose of this paper is to examine how family support affects challenge and hindrance appraisals, which in turn, influence entrepreneurs’ venture exit intention drawing on…
Abstract
Purpose
The purpose of this paper is to examine how family support affects challenge and hindrance appraisals, which in turn, influence entrepreneurs’ venture exit intention drawing on the challenge-hindrance job stressor model, family support, and the venture exit literature.
Design/methodology/approach
An experimental study (Study 1) was conducted to establish the relationships among family support, challenge and hindrance appraisals, and entrepreneurs’ venture exit intention. Two survey studies (Study 2 and Study 3) were conducted to extend the external validity of findings in Study 1 and to examine whether the theoretical framework holds in both the US and Chinese contexts.
Findings
All three studies demonstrate that family support decreases entrepreneurs’ venture exit intention by reducing hindrance appraisal. Study 3 also shows the mediating role of challenge appraisal in the family support – venture exit intention relationship.
Originality/value
This research contributes to the family embeddedness perspective not only by showing its relevance to the venture exit context but also by validating the relationship of family support with cognitive appraisals and venture exit intention in two cultural contexts. It also contributes to venture exit research by highlighting the unique role of cognitive appraisals in the formation of entrepreneurs’ venture exit intention.
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Tien-Yu Hsu, HsinYi Liang, Chuang-Kai Chiou and Judy C.R. Tseng
The purpose of this paper is to develop a blended mobile game-based learning service called CoboChild Mobile Exploration Service (hereinafter CoboChild) to support children’s…
Abstract
Purpose
The purpose of this paper is to develop a blended mobile game-based learning service called CoboChild Mobile Exploration Service (hereinafter CoboChild) to support children’s learning in an environment blending virtual game worlds and a museum’s physical space. The contextual model of learning (CML) was applied to consider the related influential factors affecting museum learning and to promote children’s continuous learning and revisit motivations.
Design/methodology/approach
CoboChild provides a thematic game-based learning environment to facilitate children’s interactions with exhibits and other visitors. A practical system has been implemented in the National Museum of Natural Science (NMNS), Taiwan. A questionnaire was used to examine whether CoboChild can effectively fulfill the CML and to evaluate the impacts on museum learning.
Findings
CoboChild effectively fulfilled the CML to facilitate children’s interactive experiences and re-visit motivations in the blended mobile game-based learning environment. Most children described the system as providing fruitful playfulness while improving their interpretations of exhibitions and learning experiences.
Practical implications
CoboChild considers the related contextual influences on the effective support of children’s learning in a museum, and builds a child-centered museum learning environment with highly integrated blended learning resources for children. CoboChild has been successfully operating in the NMNS since 2011.
Originality/value
This study developed a blended mobile game-based learning service to effectively support children’s learning in museum contexts. The related issues are shown to improve the design of blended museum learning services. This innovative approach can be applied to the design of other child-centered services for engaging children’s interactive experiences in museums.
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Hasan Dinçer and Serhat Yüksel
The purpose of the study is to analyze the risk of violent conflict with the global conflict risk factors in the Middle East economies by using an integrated fuzzy decision…
Abstract
The purpose of the study is to analyze the risk of violent conflict with the global conflict risk factors in the Middle East economies by using an integrated fuzzy decision approach. For this purpose, five different dimensions and 24 different criteria are defined by analyzing similar studies in the literature. The dataset is borrowed from the European Commission, and experts appointed for the linguistic evaluation of each dimension and criterion. Additionally, fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) methodology is used to weigh dimensions and criteria and Multi-objective Optimization on the basis of Ratio Analysis (MOORA) approach is considered to rank the countries with respect to the conflict risk. Social dimension was concluded to have the highest importance of the Global Conflict Risk Index. Moreover, Syria, Libya, and Saudi Arabia were identified as the countries that have high conflict risk. Because these countries have high risk of facing conflict in the future, it is strongly recommended that they should primarily focus on social factors in order to minimize this risk.
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China around 1900 was an enormous domain with approximately 400 million people, almost all of them desperately poor. Most were farmers, working intensively on small tracts of land…
Abstract
China around 1900 was an enormous domain with approximately 400 million people, almost all of them desperately poor. Most were farmers, working intensively on small tracts of land using relatively primitive technology. It was in many respects a Malthusian economy, with high death and birth rates and many residents living close to the subsistence level.
A Soviet type of “shock therapy” is not likely to takeplace in China since a gradual economic reform has already improved theoverall economic conditions. Argues that, for further…
Abstract
A Soviet type of “shock therapy” is not likely to take place in China since a gradual economic reform has already improved the overall economic conditions. Argues that, for further economic development, however, the Chinese communists must recognize two basic facts: (1) Chinese communism has already fulfilled its historical mission by expelling foreign imperialism and domestic feudalism; (2) Marxism and Leninism are of foreign origin. This recognition is able to pave the way for a final adoption of the Taiwanese model of economic development, which is based on the ideas developed by Sun Yat‐Sen, who had never stopped to insist that modernization should not abandon the Chinese tradition, especially Confucianism.
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Endang Siti Astuti, Zainul Arifin, Wilopo and Mohammad Iqbal
The purpose of this paper is to examine the effect of environmental characteristics, business partnership relationship, knowledge complementarity, organizational characteristics…
Abstract
Purpose
The purpose of this paper is to examine the effect of environmental characteristics, business partnership relationship, knowledge complementarity, organizational characteristics on knowledge management practices and innovation performance.
Design/methodology/approach
The research used primary data, i.e. data obtained directly from the distribution of questionnaires to respondents, namely, the company’s managers/leaders/directors in the companies that became the research sample. Data were collected by sending questionnaires either by mail or email to the respondents. To examine the effect of environmental characteristics, business partnership relationship, knowledge complementarity and organizational characteristics on knowledge management practices and innovation performance.
Findings
Environmental characteristics, business partnership relationship, knowledge complementarity and organizational characteristics partially have a significant effect on knowledge management practices. Environmental characteristics and business partnership relationship partially have a significant effect on innovation performance, while knowledge complementarity and organizational characteristics have no significant effect. For other constructs, knowledge management practices are able to be a moderator variable, which can relate these constructs with innovation performance.
Originality/value
The research using the diffusion of innovation paradigm, the combination of market-based and knowledge-based paradigms is expected to fill the previous research gap and become the first uniqueness and originality, as well as characteristic of this research. The second originality is this research examines the role of the knowledge management practice variable as the moderator variable. Then, the third originality is this research investigates the relationship between business partner relationship and innovation performance. These three originalities are still rarely studied in previous studies, so this research will further complement, expand the study, especially in the knowledge management, innovation performance area.
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Iffat Abbas Abbasi, Amjad Shamim and Hasbullah Ashari
This study addresses a critical gap in understanding consumer behavior toward indigenous chicken, investigating the interaction between cognitive factors and purchase decisions…
Abstract
Purpose
This study addresses a critical gap in understanding consumer behavior toward indigenous chicken, investigating the interaction between cognitive factors and purchase decisions. The current research offers a valuable contribution to the field of sustainable food marketing by shedding light on these dynamics.
Design/methodology/approach
The research employed a quantitative survey method to gather data from consumers of indigenous chicken in Malaysia and analyzed it using structural equation modeling.
Findings
Health and price consciousness, along with effort expectancy, significantly influence consumer attitudes toward indigenous chicken. However, environmental consciousness and availability do not directly impact attitude. Similarly, attitude mediates the relationship between health consciousness, price consciousness, effort expectancy and purchase behavior, while attitude does not mediate the relationship between environmental consciousness, availability and purchase behavior of indigenous chicken.
Originality/value
This study is one of the pioneering works to apply the cognitive affect behavior (CAB) model to examine the factors influencing consumer attitudes and purchase behavior toward indigenous chicken. It investigates how constructs such as health consciousness, environmental consciousness, price consciousness, effort expectancy and availability affect these attitudes and behaviors, offering novel insights into the purchase intentions of younger and educated individuals.
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Serge-Lopez Wamba-Taguimdje, Samuel Fosso Wamba, Jean Robert Kala Kamdjoug and Chris Emmanuel Tchatchouang Wanko
The main purpose of our study is to analyze the influence of Artificial Intelligence (AI) on firm performance, notably by building on the business value of AI-based transformation…
Abstract
Purpose
The main purpose of our study is to analyze the influence of Artificial Intelligence (AI) on firm performance, notably by building on the business value of AI-based transformation projects. This study was conducted using a four-step sequential approach: (1) analysis of AI and AI concepts/technologies; (2) in-depth exploration of case studies from a great number of industrial sectors; (3) data collection from the databases (websites) of AI-based solution providers; and (4) a review of AI literature to identify their impact on the performance of organizations while highlighting the business value of AI-enabled projects transformation within organizations.
Design/methodology/approach
This study has called on the theory of IT capabilities to seize the influence of AI business value on firm performance (at the organizational and process levels). The research process (responding to the research question, making discussions, interpretations and comparisons, and formulating recommendations) was based on a review of 500 case studies from IBM, AWS, Cloudera, Nvidia, Conversica, Universal Robots websites, etc. Studying the influence of AI on the performance of organizations, and more specifically, of the business value of such organizations’ AI-enabled transformation projects, required us to make an archival data analysis following the three steps, namely the conceptual phase, the refinement and development phase, and the assessment phase.
Findings
AI covers a wide range of technologies, including machine translation, chatbots and self-learning algorithms, all of which can allow individuals to better understand their environment and act accordingly. Organizations have been adopting AI technological innovations with a view to adapting to or disrupting their ecosystem while developing and optimizing their strategic and competitive advantages. AI fully expresses its potential through its ability to optimize existing processes and improve automation, information and transformation effects, but also to detect, predict and interact with humans. Thus, the results of our study have highlighted such AI benefits in organizations, and more specifically, its ability to improve on performance at both the organizational (financial, marketing and administrative) and process levels. By building on these AI attributes, organizations can, therefore, enhance the business value of their transformed projects. The same results also showed that organizations achieve performance through AI capabilities only when they use their features/technologies to reconfigure their processes.
Research limitations/implications
AI obviously influences the way businesses are done today. Therefore, practitioners and researchers need to consider AI as a valuable support or even a pilot for a new business model. For the purpose of our study, we adopted a research framework geared toward a more inclusive and comprehensive approach so as to better account for the intangible benefits of AI within organizations. In terms of interest, this study nurtures a scientific interest, which aims at proposing a model for analyzing the influence of AI on the performance of organizations, and at the same time, filling the associated gap in the literature. As for the managerial interest, our study aims to provide managers with elements to be reconfigured or added in order to take advantage of the full benefits of AI, and therefore improve organizations’ performance, the profitability of their investments in AI transformation projects, and some competitive advantage. This study also allows managers to consider AI not as a single technology but as a set/combination of several different configurations of IT in the various company’s business areas because multiple key elements must be brought together to ensure the success of AI: data, talent mix, domain knowledge, key decisions, external partnerships and scalable infrastructure.
Originality/value
This article analyses case studies on the reuse of secondary data from AI deployment reports in organizations. The transformation of projects based on the use of AI focuses mainly on business process innovations and indirectly on those occurring at the organizational level. Thus, 500 case studies are being examined to provide significant and tangible evidence about the business value of AI-based projects and the impact of AI on firm performance. More specifically, this article, through these case studies, exposes the influence of AI at both the organizational and process performance levels, while considering it not as a single technology but as a set/combination of the several different configurations of IT in various industries.
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Matthew Kalubanga and Winfred Mbekeka
This study examines how compliance with government and firm's own policy and reverse logistics practices relate with firm environmental performance.
Abstract
Purpose
This study examines how compliance with government and firm's own policy and reverse logistics practices relate with firm environmental performance.
Design/methodology/approach
This study draws on insights from stakeholder theory, and follows a two-phase research approach. The first phase utilized an extended literature review that seeks to provide a qualitative and comprehensive understanding of the research problem. The 2001–2023 data was collected from the Web of Science and Scopus databases, complemented with Google Scholar. The second phase involved an empirical study—adopting a quantitative cross-sectional survey design with a self-administered questionnaire to validate the theoretical conceptualizations deriving from the literature review. The empirical data were collected from 203 food and beverages manufacturing firms in Uganda and analysed using the partial least squares structural equation modelling (PLS-SEM) approach.
Findings
The study findings suggest that compliance with government policy positively influences firm environmental performance, both directly, and indirectly through fostering reverse logistics practices, and that the relationship between compliance with government policy and reverse logistics practices is contingent upon compliance with the focal firm's own policy.
Research limitations/implications
The study findings will enhance the theoretical and conceptual development of the ideas that underpin stakeholder theory and applications. The Ugandan government will come up with better mechanisms for enforcing compliance with policy regulating the application of reverse logistics practices. In addition, the study advances the use of multi-method approaches in investigating interesting research aspects requiring in-depth examination. However, considering the fact that the empirical study was conducted in a single country context, and focused on firms more or less from the same sub-sector, the findings of the study might not be generalizable globally.
Practical implications
This study provides useful insights to logistics and supply chain managers involved in reverse logistics activities in food and beverages manufacturing firms. These managers can know how to leverage reverse logistics practices to enhance environmental performance of firms amidst environmental policies in the industry where they operate.
Originality/value
This study contributes to the built body of knowledge in operations, logistics and supply chain management literature; understanding about reverse logistics practices as a mechanism through which compliance with government policy influences environmental performance of firms. The interaction between compliance with government policy and compliance with firm policy is essential in explaining the performance effects of reverse logistics practices. In addition, the study advances the use of multi-method approaches in investigating interesting research aspects requiring in-depth examination. Complementing extended literature review with and empirical research to investigate reverse logistics practices influences on firm environmental performance, and incorporating the role of policy in explaining this relationship should make considerable contribution. Besides, the study highlights important areas for future research.