Graham J. Treloar, Hani Gupta, Peter E.D. Love and Binh Nguyen
Residential building construction activities, whether it is new build, repair or maintenance, consumes a large amount of natural resources. This has a negative impact on the…
Abstract
Residential building construction activities, whether it is new build, repair or maintenance, consumes a large amount of natural resources. This has a negative impact on the environment in the form depleting natural resources, increasing waste production and pollution. Previous research has identified the benefits of preventing or reducing material waste, mainly in terms of the limited available space for waste disposal, and escalating costs associated with landfills, waste management and disposal and their impact on a building company's profitability. There has however been little development internationally of innovative waste management strategies aimed at reducing the resource requirement of the construction process. The authors contend that embodied energy is a useful indicator of resource value. Using data provided by a regional high‐volume residential builder in the State of Victoria, Australia, this paper identifies the various types of waste that are generated from the construction of a typical standard house. It was found that in this particular case, wasted amounts of materials were less than those found previously by others for cases in capital cities (5‐10 per cent), suggesting that waste minimisation strategies are successfully being implemented. Cost and embodied energy savings from using materials with recycled content are potentially more beneficial in terms of embodied energy and resource depletion than waste minimisation strategies.
Saurabh Gupta and Nidhi Mathur
The objective of this study was to analyse the effects of major determinants on VCT adoption intention among higher educational leaders. Also, this study aims to investigate how…
Abstract
Purpose
The objective of this study was to analyse the effects of major determinants on VCT adoption intention among higher educational leaders. Also, this study aims to investigate how perceived risk and perceived benefits influence the educational leaders, VCT actual use intention.
Design/methodology/approach
The authors used the online survey method to collect the 440 responses through purposive sampling procedure. Structural equation modelling (SEM) technique and Multi Group Analysis procedure were used to test the proposed model and moderating effects.
Findings
The findings revealed that all the four determinants (PE, EE, SI and FC) based on UTAUT model have positive and significant effects on intention to use VCT. Besides this there is a significant and positive effect of intention to use VCT on actual usage of VCT by the educational leaders. The moderating effect of perceived risk and perceived benefits on actual usage of virtual communication also found significant.
Research limitations/implications
This paper makes its contribution to the literature related to virtual communication technology adoption by including two moderator variables (perceived risk and benefits) that are expected to affect educational leaders' actual usage of VCT. The results can also help researchers and practitioners better understanding the factors that influence higher educational leaders to adopt VCT.
Originality/value
This study proposed a model incorporating the perceived risk and perceived benefits in the UTAUT model to predict the actual use of VCT. The study endeavours to investigate the moderating effects of perceived risk and perceived benefits between ITUVCT and AUVCT in Indian educational context.
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Technology triggers business collaboration and partnership as well as becomes an essential part for disruptive business strategies. The literature on this topic is dispersed, and…
Abstract
Technology triggers business collaboration and partnership as well as becomes an essential part for disruptive business strategies. The literature on this topic is dispersed, and the chapter addresses this gap. This chapter aims to present a systematic literature review of academic studies in disruptive collaborative innovation frameworks and provide guidance for future research by identifying current research gaps. The study uses the PRISMA framework and collects literature from 2015 to 2023 from highly ranked academic venues with the final sample of 112 papers. The section is structured around the PRISMA framework, and results are reported accordingly. The analysis was conducted using a range of methods, including bibliometric analysis, multiple correspondence analysis (MCA), and text network analysis.
The analysis of the literature is presented to identify the main areas of research as well as to gauge the emerging streams. The overall results suggest that this area is starting to develop with limited research available to date. The study identified four theoretical foundations for existing research, aligned with behavioral, network, resource-based (RBV), and knowledge-based views (KBV). The identified theoretical views and themes are discussed, and examples of the studies are provided.
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Nadia A. Abdelmegeed Abdelwahed
Developing and maintaining green innovation (GI) and environmental performance (EP) has become a significant challenge for every organization. The present paper attempts to…
Abstract
Purpose
Developing and maintaining green innovation (GI) and environmental performance (EP) has become a significant challenge for every organization. The present paper attempts to confirm the contributions of technology leadership (TL) and green HRM (GHRM) to green work engagement (GWE), GI and EP. The study also recognizes GWE’s contribution to connecting TL, GHRM, GI and EP.
Design/methodology/approach
The study applies a deductive approach where data are gathered through questionnaires from employees of manufacturing firms in Egypt. Consequently, the study utilizes 312 cases to draw its conclusions.
Findings
With regard to analysis, the researcher used path analysis through AMOS and established a positive effect of TL on GI and EP but a negative on GWE. GHRM has been confirmed to predict GWE, GI and EP positively. Furthermore, GWE positively influences GI and EP among the employees of manufacturing firms in Egypt. The indirect paths establish a significant contribution of GWE in developing the links between TL and EP, GHRM, GI and EP. On the other hand, it negatively affects the link between TL and GI.
Practical implications
The study assists employers in setting green goals for their employees by offering the required knowledge, skills and training for green environmental management. The study also benefits employees’ workplace green behaviors in performance appraisals and promotions.
Originality/value
The study’s originality assists in overcoming the remaining gaps in the literature by enriching the penetration of the literature from a developing context.
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Halil Erdem Akoglu and Oğuz Özbek
The aim of this research is to measure the impact of eWOM (electronic word of mouth) and brand celebrity use on the purchasing behavior of sports consumers.
Abstract
Purpose
The aim of this research is to measure the impact of eWOM (electronic word of mouth) and brand celebrity use on the purchasing behavior of sports consumers.
Design/methodology/approach
To test the model hypotheses, sports consumers who use social media and have purchased at least one online sports product were selected as the research group. Online survey method was used, and 836 participants were reached. The model was tested with structural equation modeling (SEM) through smart PLS software.
Findings
As a result, the quality, credibility and usefulness of the information consumers encounter on online platforms cause them to adopt information about products or services, and then exhibit online purchase behavior. While the attractiveness and trustworthiness of celebrities are seen as important factors affecting consumers' online purchase of sports products, the effect of celebrity expertise was found to be ineffective in this study.
Practical implications
Marketers can develop more effective eWOM strategies by considering consumers' expectations. Businesses that want to implement an effective marketing strategy may prefer celebrities in product promotions or advertisements of their brands.
Originality/value
This research revealed the effect of eWOM and celebrity endorsement on the online purchase behavior of sports consumers in terms of the sports industry. Unlike previous studies, this study examined these variables together on sports consumers and contributed to the development of models.
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Hani Hafiera Khahar, Ali Vafaei-Zadeh, Haniruzila Hanifah and T. Ramayah
This study leverages an enhanced expectation confirmation model of information technology continuance to explore the factors that shape the continuance intention toward cloud…
Abstract
Purpose
This study leverages an enhanced expectation confirmation model of information technology continuance to explore the factors that shape the continuance intention toward cloud computing services.
Design/methodology/approach
Data were collected from personal cloud computing service users in Malaysia, resulting in a total of 567 usable responses. The research used partial least squares structural equation modeling (PLS-SEM) for comparative analysis and model selection based on predictive accuracy.
Findings
The study findings demonstrate that perceived benefits, ease of use, usefulness, risk and trust play crucial roles as antecedents to user confirmation and satisfaction, thereby influencing the intention for continuous service usage. Notably, the hypotheses formulated for the study received robust support, with 13 out of 14 anticipated relationships proving statistically significant.
Originality/value
This study presents a novel investigation into the continuance of personal cloud computing services among Malaysian users, contributing to a deeper understanding of user intention dynamics in this context. Integrating an expanded ECM-IT framework offers a comprehensive analytical approach that simultaneously considers information systems and non-IS factors. Additionally, the study underscores the significance of predictive capability assessment using the PLSpredict method, providing a valuable benchmark for model selection in future research.
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Tagreed Ali and Piyush Maheshwari
Blockchain technology, renowned for its decentralization, security, reliability, and data integrity, has the potential to revolutionize businesses globally. However, its full…
Abstract
Blockchain technology, renowned for its decentralization, security, reliability, and data integrity, has the potential to revolutionize businesses globally. However, its full potential remains unrealized due to adoption barriers, necessitating further studies to address these challenges. Identifying these barriers is crucial for businesses and practitioners to effectively tackle them. This systematic review analyzed 70 eligible studies out of 1944 gathered from various databases to understand and identify common blockchain adoption barriers. The Technology–Organization–Environment (TOE) framework was the most popular theory used in these studies. Despite differences in variable definitions, financial constraints, lack of stakeholder collaboration and coordination, and social influences like resistance to change and negative perceptions emerged as the top three barriers. The supply chain domain had the highest number of studies on blockchain adoption. Notably, there was a significant increase in studies addressing blockchain adoption in 2023, comprising 34.2% of the total reviewed studies. This review provides a comprehensive overview of identified barriers, serving as a valuable foundation for future research. Understanding these challenges allows researchers to design targeted studies aimed at developing solutions, strategies, and innovations to overcome obstacles hindering blockchain adoption.
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Ngonidzashe Katsamba, Agripah Kandiero and Sabelo Chizwina
The purpose of the chapter was to examine the impact of customer care chatbots on customer satisfaction levels in the mobile telephony industry in Zimbabwe, with a special focus…
Abstract
The purpose of the chapter was to examine the impact of customer care chatbots on customer satisfaction levels in the mobile telephony industry in Zimbabwe, with a special focus on the company Econet Wireless. This chapter shows the conceptual framework used. An online questionnaire was administered to a sample of 100 Econet Wireless subscribers who were selected using probability stratified random sampling from Zimbabwe’s 10 provinces. The research data were collected and analysed for correlation, and a multiple regression analysis was carried out to identify the relationship between customer satisfaction and the three customer service improvements brought in by the introduction of customer service chatbots. The study discovered that there is a positive relationship between customer satisfaction levels and each of the three customer service improvements brought in by customer service chatbots, namely customer service convenience, speed of response, and omnichannel strategies. This study thereby proves that the introduction of customer service chatbots in the mobile telephony industry in Zimbabwe can lead to an improvement in customer satisfaction levels. However, addressing service quality only as a determinant of customer satisfaction in isolation is not sufficient to fully improve customer satisfaction levels. Therefore, organisations that seek to improve their customer satisfaction should consider strategies that address all determinants of customer satisfaction, namely price, product quality, service quality, situational factors, and personal factors. This study contributes to the body of knowledge, particularly regarding the use of artificial intelligence (AI) for customer service in developing economies.
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Mauro Sciarelli, Anna Prisco, Mohamed Hani Gheith and Valerio Muto
The present research aims to identify the determinants for users' behavioral adoption of Blockchain, exploring the relationships among these variables and investigating whether…
Abstract
Purpose
The present research aims to identify the determinants for users' behavioral adoption of Blockchain, exploring the relationships among these variables and investigating whether the proposed model can provide a more comprehensive manner to understand the adoption of Blockchain technology.
Design/methodology/approach
This study adopts the Technology Acceptance Model (TAM) approach and extends it with external constructs: “reduced cost” and “efficiency and security”. This paper used a quantitative and exploratory approach through the collection and analysis of data from a total of 108 Italian innovative SME. We have used the Partial Least Squares Structural Equation modeling (PLS-SEM) approach using SmartPLS for model evaluation.
Findings
The results show that “efficiency and security” is an important driver of firms' decision-making process to adopt Blockchain. Moreover, the results show that perceived usefulness is a strong predictor of the intention to use Blockchain in business processes.
Originality/value
This research advances the literature on technology adoption in business processes, focusing on a particular technology: Blockchain. The field has been strengthened by investigating the determinants of technology adoption, adding new perspectives; both reduced cost and efficiency, and security.