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1 – 10 of over 1000Muhammad Yaseen Bhutto and Aušra Rūtelionė
This research examines consumer reluctance to purchase organic food using the theory of innovation resistance and also extends the theory by investigating the moderating…
Abstract
Purpose
This research examines consumer reluctance to purchase organic food using the theory of innovation resistance and also extends the theory by investigating the moderating influence of eco-literacy. In addition, the authors used a multigroup analysis to identify differences between consumer segments.
Design/methodology/approach
Data collection used computer-assisted web interviewing and a prior screening process to confirm engagement. Through stratified quota sampling, 1,000 useable responses were obtained from 2,887 recipients.
Findings
The findings reveal barriers are significant inhibitors to adopting organic food. Among these barriers, usage, risk tradition and image barriers have a significant adverse influence on purchase intention. In contrast, the value barrier has a nonsignificant influence on the purchase intention of organic food. However, the study found that eco-literacy significantly reduces the negative influence of risk and tradition barriers on consumers' intentions. In addition, a multigroup analysis examines notable differences between consumer groups based on education, age and income.
Social implications
This research has significant social implications for boosting sustainable consumption in Lithuania. It identifies key barriers to organic food adoption, emphasizing the need for strategic interventions. The study highlights eco-literacy as an essential tool in diminishing resistance to organic food, advocating for targeted educational initiatives. Additionally, it reveals the importance of tailored marketing strategies based on different consumer demographics. Overall, this study provides important insights to promote environmentally conscious consumer behavior and overcome resistance to innovation in the organic food sector.
Originality/value
This study expressively advances the understanding of intentional behavior by exploring organic food within Lithuania's Baltic economy. It authenticates the innovation resistance theory's applicability to organic food behavior in the region while emphasizing the moderating impact of eco-literacy in the link between barriers and purchase intention concerning organic food. Furthermore, using advanced methods such as partial least squares statistical modeling and multi-group analysis, the research reveals how barriers affect the purchase intention of organic food among different groups of consumers.
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Sachin Kumar, Neeraj Dhiman, Honey Kanojia and Richa Joshi
This study aims to examine the factors determining the discontinuance intentions of millennials to use hotel booking apps.
Abstract
Purpose
This study aims to examine the factors determining the discontinuance intentions of millennials to use hotel booking apps.
Design/methodology/approach
A quantitative technique was followed to collect the data from the tourists, and partial least square structural equation modeling (PLS-SEM) technique was adopted to validate the proposed model.
Findings
Significant predictors of discontinuance intentions of hotel booking apps are usage barrier, values barrier, risk barrier, lack of facilitating conditions and digital self-efficacy.
Practical implications
The results of this study provide useful insights for tourism stakeholders and app developers to understand in real terms the setbacks that might be a hindrance to the users of such apps for hotel booking.
Originality/value
Despite the increasing focus of scholars toward understanding the determinants of technology adoption, the present study has extended innovation resistance theory with three novel constructs: social dependency, lack of facilitating conditions and digital self-efficacy.
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Shavneet Sharma and Gurmeet Singh
Plastic pollution is a major issue that plagues modern society. Scholars are interested in comprehending consumers’ behavioural actions to address plastic pollution. This study…
Abstract
Purpose
Plastic pollution is a major issue that plagues modern society. Scholars are interested in comprehending consumers’ behavioural actions to address plastic pollution. This study aims to delve into the determinants of consumers’ engagement with social media as a medium to address plastic pollution.
Design/methodology/approach
A conceptual model is developed that extends the behavioural reasoning theory (BRT). Using a quantitative approach, 476 responses underwent structural equation modelling analysis.
Findings
Results indicate that “reasons for” positively correlate with attitude and intention towards socially responsible engagement. Contrarily, “Reasons against” demonstrated a positive association with socially responsible engagement intention. Attitudes favouring socially responsible engagement correlate positively with the underlying intention. The moderation analysis underscores the positive relation of social return on social media with consumers’ attitude and their “reasons for” leaning towards socially responsible engagement intention. Notably, a positive connection was established between socially responsible engagement intention and the trifecta of consumption, contribution and content creation behaviours.
Originality/value
By enhancing the BRT, this research sheds light on novel perspectives regarding consumers’ engagement on social media platforms. Distinctively, it is among the handful of studies probing the influence of behavioural intention across diverse behavioural outcomes. The insights gained from this study, grounded in empirical evidence from an emerging market, are poised to guide policymakers, governmental agencies and industry practitioners in formulating effective strategies to combat plastic pollution. Additionally, the study can assist in achieving the UN sustainable development goals (SDGs), specifically SGD 12, SGD 13, SDG 14 and SGD 17.
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Hafiz Muhammad Wasif Rasheed, He Yuanqiong, Hafiz Muhammad Usman Khizar and Junaid Khalid
This study aims to identify, review and synthesize existing literature on key theories, drivers and barriers affecting consumer adoption or resistance to artificial intelligence…
Abstract
Purpose
This study aims to identify, review and synthesize existing literature on key theories, drivers and barriers affecting consumer adoption or resistance to artificial intelligence (AI) in the hospitality sector.
Design/methodology/approach
This study aims to conduct a complete literature review of the accrued knowledge generated so far on AI in the hospitality sector. To attain the overall objectives of this study, we used the systematic literature review (SLR) method. This method systematically handles the diversity of knowledge in a specific topic to answer precise research questions. It also generates new visions through a synthesis of the literature, to identify the knowledge gaps, set the new directions for the future researcher and provide sufficient guidance to inform the policy and practice.
Findings
The findings of this study are presented in three sections, as follows: descriptive analysis, content analysis and synthesized framework. The findings highlighted the state-of-the-art mapping of the existing research in terms of publication frequency over time and across publication outlets, key theories, methods and geographies. In addition, literature on consumer adoption (or resistance) of AI in hospitality is content analyzed to highlight key drivers and barriers. Moreover, this review critically evaluates extant literature and sets future agendas by postulating specific research questions for further knowledge development in this field of study.
Research limitations/implications
The SLR focused on consumer adoption or resistance to use AI in hospitality literature. The future researcher may include additional streams to get better results.
Practical implications
The study findings will help multiple stakeholders to understand the underlying causes of customer resistance or barriers to the intention to use/adopt AI services in the hotel sector. Furthermore, study results will allow them to better analyze the relationship between customer barriers, intents or consumer decision behaviors.
Originality/value
First, this study provides a comprehensive synthesis of the literature on the consumer adoption or resistance of AI in hospitality. This study categorizes the existing diversified literature in two main themes – drivers and barriers – to present a simplistic picture of the existing literature. Second, the review highlights the gaps and limitations in existing research and provides guidance for future scholars. Third, the key contribution of this review is the development of a unified framework on the consumer adoption or resistance of AI in the hospitality sector. That is, this study puts forward the behavioral reasoning theory framework and suggests that future research using this lens will immensely contribute to existing literature. Finally, this study facilitates the practitioners to understand the key motivating and hindering factors affecting the adoption and resistance behavior.
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Udara Willhelm Abeydeera Lebunu Hewage, Jayantha Wadu Mesthrige and Eric G. Too
This study explores the current status of risk management (RM) in Sri Lanka and the obstacles in implementing RM in Sri Lankan small construction projects.
Abstract
Purpose
This study explores the current status of risk management (RM) in Sri Lanka and the obstacles in implementing RM in Sri Lankan small construction projects.
Design/methodology/approach
The current research study adopted a quantitative research method. Using a purposeful sampling strategy, 100 construction companies engaged in small construction projects in Sri Lanka were selected and a questionnaire was distributed among top managerial employees of these companies. Employees belonging to 47 companies responded to the survey which provided information relating to 812 construction projects. The collected data were analyzed using the RM implementation index (RMII) and other quantitative measures such as mean, median and percentages.
Findings
The research findings indicated that RM incorporation was at a lower degree in small construction projects in Sri Lanka. The findings further indicated that RM incorporation was relatively high in the public construction projects compared to the private construction projects. The main obstacles identified through the survey for RM implementation were: “lack of funding”, “lack of time”, “low profit margin”, “not economical” and “lack of knowledge”.
Research limitations/implications
The study was limited to exploring RM implementation in small construction projects in Sri Lanka. The study was limited to the building construction companies under the 150-million-rupee (approx. below 450,000 USD) financial limit registered with the construction industry development authority in Sri Lanka.
Originality/value
RM in small construction projects in developing countries is a relatively less explored domain. Sri Lankan construction industry is another relatively less explored domain in terms of new management technique implementation such as RM and value management. The quantitative approach used for the study revealed that RM implementation is at a lower degree in the small construction projects. Moreover, several obstacles pertaining to RM implementation were recognized through this study. These findings will be useful for the construction stakeholders to overcome the recognized barriers and effectively use RM in their respective construction projects.
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The study provides a comprehensive understanding of the issues and illegal activities related to cryptocurrencies and their negative repercussions. This study aims to identify and…
Abstract
Purpose
The study provides a comprehensive understanding of the issues and illegal activities related to cryptocurrencies and their negative repercussions. This study aims to identify and classify cryptocurrency downsides using grounded theory and in-depth interviews. The study also analysed investors’ reluctance to invest in cryptocurrency. This pioneering qualitative study illuminates a deep and multifaceted criminal aspect of cryptocurrency.
Design/methodology/approach
The study conducted in-depth interviews with respondents who have experience and knowledge of cryptocurrency investments. The interviews were recorded and transcribed. The analysis was performed using the NVivo 14 software in the study.
Findings
The study specified two major types of cryptocurrency’s negative aspects: barriers and illegal usage. Barriers to cryptocurrency investment include technological, security, trust, market-related and regulatory reasons. Terrorist funding, money laundering, fraud and ransom payments are all examples of illegal usage. The results of the word cloud analysis are consistent with the overall findings of the survey, which highlighted illegal usage as a prominent negative element of cryptocurrencies. It is a key reason why cryptocurrency is not included in investing portfolios by investors.
Originality/value
The study’s findings provide useful insights for policymakers to develop better methods for successfully mitigating risks and ensuring responsible and sustainable usage of cryptocurrencies. In addition, the study could serve as a stepping stone for more cryptocurrency-related studies, contributing to the development of a more complete and nuanced comprehension of this emergent technology and its societal effects.
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Suchismita Swain, Kamalakanta Muduli, Anil Kumar and Sunil Luthra
The goal of this research is to analyse the obstacles to the implementation of mobile health (mHealth) in India and to gain an understanding of the contextual inter-relationships…
Abstract
Purpose
The goal of this research is to analyse the obstacles to the implementation of mobile health (mHealth) in India and to gain an understanding of the contextual inter-relationships that exist amongst those obstacles.
Design/methodology/approach
Potential barriers and their interrelationships in their respective contexts have been uncovered. Using MICMAC analysis, the categorization of these barriers was done based on their degree of reliance and driving power (DP). Furthermore, an interpretive structural modeling (ISM) framework for the barriers to mHealth activities in India has been proposed.
Findings
The study explores a total of 15 factors that reduce the efficiency of mHealth adoption in India. The findings of the Matrix Cross-Reference Multiplication Applied to a Classification (MICMAC) investigation show that the economic situation of the government, concerns regarding the safety of intellectual technologies and privacy issues are the primary obstacles because of the significant driving power they have in mHealth applications.
Practical implications
Promoters of mHealth practices may be able to make better plans if they understand the social barriers and how they affect each other; this leads to easier adoption of these practices. The findings of this study might be helpful for governments of developing nations to produce standards relating to the deployment of mHealth; this will increase the efficiency with which it is adopted.
Originality/value
At this time, there is no comprehensive analysis of the factors that influence the adoption of mobile health care with social cognitive theory in developing nations like India. In addition, there is a lack of research in investigating how each of these elements affects the success of mHealth activities and how the others interact with them. Because developed nations learnt the value of mHealth practices during the recent pandemic, this study, by investigating the obstacles to the adoption of mHealth and their inter-relationships, makes an important addition to both theory and practice.
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Shivangi Viral Thakker, Santosh B. Rane and Vaibhav S. Narwane
Digital supply chains require nascent technologies like blockchain and Internet of Things (IoT). There is a need to develop a roadmap for the implementation of these technologies…
Abstract
Purpose
Digital supply chains require nascent technologies like blockchain and Internet of Things (IoT). There is a need to develop a roadmap for the implementation of these technologies, as they require a huge amount of resources and infrastructure. The purpose of this paper is to analyze the challenges of implementing blockchain-IoT integrated architecture in the green supply chain and develop strategies for the same.
Design/methodology/approach
After a thorough literature survey of Scopus-indexed journals and books, 37 barriers were identified, which were then brought down to 15 barriers after confirming with industry and academic experts using the Delphi method. Using the total interpretive structural modeling (TISM) method and cross-impact matrix multiplication applied to classification (MICMAC) analysis, the barriers were modeled, and finally, strategies were formulated using a concept map to handle the barriers in the blockchain-IoT integrated architecture for a green supply chain.
Findings
This paper presents the research on barriers that can be considered for incorporating blockchain and IoT in the green supply chain. It was found from the TISM model that environmental concerns are Level-1 barriers and need to be addressed by developing appropriate technology and allocating funds for the same. An integrated ecosystem with blockchain and IoT is developed.
Research limitations/implications
The focus of this study was on the challenges of blockchain and IoT; hence, it is required to extend the research and find challenges for different industries and also analyze the criteria using other multi-criteria decision-making (MCDM) methods. Further research is required for the integration of blockchain-IoT with supply chain functions.
Practical implications
The transformation of a traditional supply chain into a green supply chain is possible with the integration of technologies. This research work and the strategies developed are useful to managers and practitioners working on technology implementation. Planning resources and addressing key barriers is possible with the concept maps and architecture developed.
Social implications
Green supply chain management (SCM) is gaining importance in industry as well as the academic sector due to government Policies and norms worldwide for reducing emissions and encouraging environment-friendly production systems. Incorporating blockchain and IoT in a green supply chain will further digitize and increase transparency in supply chains.
Originality/value
We have done a categorization of all barriers based on the expert survey by academicians and industry experts from industries in India. The concept map helps in identifying possible solutions for the challenges and initiatives to be taken for the smooth integration of technologies in the green supply chain.
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By providing an overview of the existing knowledge on public governance in the context of Construction 4.0, this review serves as a valuable resource for researchers, policymakers…
Abstract
Purpose
By providing an overview of the existing knowledge on public governance in the context of Construction 4.0, this review serves as a valuable resource for researchers, policymakers and practitioners interested in understanding the current state of public governance in the context of Construction 4.0 and identifying avenues for future research and practical implementation.
Design/methodology/approach
This article presents a systematic and comprehensive review of the academic literature on public governance in the context of Construction 4.0. To ensure a systematic and rigorous selection of source material, the study adopts the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.
Findings
By examining a wide range of scholarly works, the review identifies and discusses eight recurring themes that are crucial for understanding the role of public governance in Construction 4.0. These themes include policy and regulation, infrastructure and investment, skill development and education, digital inclusion and access, collaboration and partnerships, data governance and privacy, interactions with environmental and societal goals and the impact of Construction 4.0 on public governance itself. The review highlights a significant disparity between the normative debates on the importance of public governance in Construction 4.0 and the empirical knowledge available regarding its practical implementation. While the literature emphasizes the need for effective governance mechanisms to address the challenges and opportunities presented by Construction 4.0, there is a notable lack of empirical research examining the actual implementation and outcomes of public governance strategies.
Originality/value
This is the first systematic review of academic literature on public governance in the context of Construction 4.0.
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Marcus Brandenburg, Ronakeh Warasthe and Stefan Seuring
By January 1, 2023, the German supply chain due diligence act (SCDDA) has become effective. This represents a strong governmental intervention into global operations and supply…
Abstract
Purpose
By January 1, 2023, the German supply chain due diligence act (SCDDA) has become effective. This represents a strong governmental intervention into global operations and supply chain management (SCM). Hence, its frame conditions and implications are worth being studied.
Design/methodology/approach
Expert interviews with managers reveal factors of risks and opportunities as well as performance impacts and implementation issues.
Findings
A conceptual framework and research avenues are outlined.
Research limitations/implications
Pathways for SCM research and interdisciplinary studies are suggested.
Practical implications
Practitioners may gain a deeper understanding of relevant factors for managing supply chains (SCs) that are exposed to the new act.
Social implications
Understanding implications of the act may help improve social SC sustainability.
Originality/value
This study offers an initial empirical exploration and a first conceptualization of the expected consequences of the German SCDDA.
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