Search results

This paper aims to understand the religio-spiritual insights of the consumers and investigate their relationship with the consumers’ attitude towards advertising and its antecedents. Religious festivals, such as Ramadan, are celebrated with high religio-spiritual contemplations, which are often targeted by intensive marketing campaigns. During these religious festivals, consumers’ attitude toward advertising is influenced when television commercials contain “unnecessary” entertainment, “inappropriate casting” of celebrities with less credibility, “cluttered” information, “phony claims” related to good for economy and “annoying content” increasing consumers’ irritation.

This study developed a higher-order construct of religio-spiritual insights and used “Theory of Reasoned Action” for measuring the effect of religio-spiritual insights on consumers’ attitude toward advertising. Exploratory sequential mixed methods research design was used to develop and validate the instrument. A total of 30 semi-structured interviews were conducted during i-depth analysis phase to generate themes and questionnaire. During instrument validation phase, 839 Muslim consumers were surveyed by using the questionnaire, and instrument was validated by using the co-variance-based structural equation modeling approach.

This study develops and validates the instrument of religio-spiritual insights and identifies its significant direct and mediating effects between the consumer’s attitude toward advertising and its determinants.

The newly developed instrument of religio-spiritual insights is based on six dimensions, namely, “beliefs and practices,” “association with higher power,” “interconnectedness,” “self-actualization,” “heart and mind involvement,” “knowledge and meanings.” This instrument of religio-spiritual insights was validated and then tested by using a conceptual framework based on the several variables, such as attitude toward advertising, irritation, good for economy, entertainment, credibility and information.

This research paper aims to empirically explore how stock market investors’ perceptions are affected by extreme climatic events like El Nino and floods in Malaysia.

This study uses structural equation modelling (SEM) to analyse the empirical data gathered through a questionnaire survey involving 273 individual investors from Bursa Malaysia between January and June 2019.

Results reveal that companies’ efforts, especially for agriculture and plantation-based industries, to adapt to climate change risk at the production, business and stock market levels significantly impact investors’ behaviour and investment decisions. Moreover, stock market investors’ climate change knowledge shows a significant moderating effect on corporate climate change adaptation initiatives and investors’ decisions to invest in Malaysian agricultural and plantation industry stocks.

This research has significant implications for practice and policy, as it measures the stock market investors’ level of awareness about climate change events and explores the companies’ strategies to reduce climatic risks to their business model.

This study shows the way to adjust the climate change information in the stock market investment decision to improve market efficiency and sustainable stock exchanges initiative.

To the best of the authors’ knowledge, this paper is the pioneer one to provide a comprehensive link between climate change events and business performances at production level, business level and stock market levels by drawing inferences from empirical data on investors’ behaviours. This study also added value in investment theories and financial literature by observing the climate change as an important factor to determine the investors’ decisions in the stock market.

The purpose of this paper is to investigate the relationships between augmented reality, process innovativeness and operational performance.

This research is based on a quantitative approach using a questionnaire survey from a total of 117 firms in the automotive sector. The hypothesized relationships are tested using partial least square structural equation modeling (PLS-SEM).

This study demonstrates that augmented reality is positively associated with process innovativeness, and process innovativeness is positively related to operational performance. Furthermore, it is found that process innovativeness fully mediates the relationship between augmented reality and operational performance.

Although augmented reality attracts great attention from academics and practitioners, the current literature lacks an empirical investigation on how augmented reality creates value for the business. Addressing this crucial gap, this research is the first attempt to empirically reveal the role of augmented reality in facilitating process innovativeness and also unearthing how augmented reality improves operational performance. Therefore, this study offers novel insights into the role of augmented reality in business and provides theoretical and managerial contributions.

Operational excellence (OpEx) is a direction toward learning and developing an excellent culture in all aspects of an organization. To reach this culture, revolutionizing activities using industry 4.0 (i4.0) technologies might be a significant empowering tool. This study aims to identify the challenges and benefits of both concepts and investigate their interrelationship to be considered in applying industry 4.0 technologies toward operational excellence.

The challenges and benefits of OpEx and i4.0 are identified and finalized by reviewing the literature. The causal relations between the considered factors are extracted using the fuzzy DEMATEL (Decision Making Trial and Evaluation Laboratory) method. Then, the analytical network process (ANP) is applied to determine the importance and weight of the factors (challenges and benefits of OpEx and i4.0) according to the constructed network.

The findings illustrated a strong network structure between the factors. First, the causal factors included OpEx and i4.0 challenges, while the OpEx challenges also affected the i4.0 challenges. Both group challenges had a significant effect on OpEx and i4.0 benefits. This means that challenges are the causal factors to be considered in the alignment of i4.0 toward OpEx. Among the OpEx challenges, lack of strategic planning and proper infrastructure were the main influential factors. In contrast, lack of government support and undeveloped business models were identified as the main challenges of i4.0.

OpEx and i4.0 concepts are reviewed and their pros and cons are studied. Previous studies determined an interaction among these concepts. However, from a practical viewpoint, the relation between the challenges and benefits of i4.0 and OpEx was studied for the first time for their alignment.

The study adopts an intersectional approach to identify the key dimension(s) that reproduce inequalities in women's subsistence entrepreneurship within urban-poor settings in the global south.

The in-depth case study is based on 44 semi-structured interviews and four focus-group discussions with women entrepreneurs based within urban-poor dwellings in the twin cities of Islamabad and Rawalpindi in the Islamic Republic of Pakistan.

The authors contribute to the literature by identifying how intersecting socio-class and socioeconomic inequalities, and patriarchal norms of izzat (meaning: honour, respect) and purdah (or veil), perpetuate disadvantage for women entrepreneurs producing and/or selling business goods and services.

The findings challenge the view of entrepreneurship as a meritocratic and neutral activity for social emancipation. The authors argue that multiple social hierarchies and inequalities operate simultaneously, but how these are understood, exercised and reproduce disadvantage for women entrepreneurs, depends on their social class. The authors propose a triple bind of domestic, market and societal inequalities as a heuristic framework for understanding intersecting inequalities, patriarchy and subsistence entrepreneurship in Pakistan, specifically the global south.

Off-site construction (OSC) has been regarded as a clean and efficient production approach to help the construction industry towards sustainability. Different levels of OSC technologies vary greatly in their implementations and adoptions. Compared to low OSC level technologies have been applied widely, the adoption of high OSC level technologies (HOSCLTs) in practice remains limited. The adoption mechanism for HOSCLTs by firms has not been clear, hindering their promotion. This study aims to explore the mechanism combining subjective and objective adoption for HOSCLTs.

This study developed an integrated model illustrating mechanism for HOSCLTs adoption based on the technology acceptance model (TAM), which has strong capacity to explain potential adopters' subjective intentions to adoption, and the task-technology fit (TTF) theory, which well describes the linkages between the task, technology and performance in technology adoption. The proposed model was then empirically evaluated through a survey of 232 practitioners in the Chinese OSC industry using partial least squares structural equation modeling.

The results indicate that both task characteristics (TAC) and technology characteristics (TEC) positively affect TTF of HOSCLTs. TAC, TTF, firm conditions and stakeholder influence have significant positive effects on perceived usefulness (PU), which further positively influence attitude towards adoption. TEC and firm conditions are significantly related to perceived ease of use (PEU). TTF, PEU and attitude towards adoption are good predictors of behavior intention to HOSCLTs adoption. PEU only significantly influences adoption intention and is not observed to influence attitudes and PU, unlike prior research on common OSC adoption.

This study contributes to the body of knowledge by exploring HOSCLTs adoption in the industry based on distinguishing the levels of OSC technologies and supplementing an integrated model for explaining the mechanism with the combination of subjective and objective adoption. The study also provides useful insights into understanding and promoting HOSCLTs adoption for policy makers and stakeholders actively involved in the OSC field.

The purpose of this study is to frame the dimensions of the external institutional environment, namely, cultural-cognitive, normative and regulative dimensions as the main actors in the organisational field. More precisely, Libyan commercial banks have been identified as empirical evidence, to identify constraints of the institutional environment governing the behaviour and decision-making of commercial banks, when adopting Islamic financial transactions.

A questionnaire has been designed for 14 Libyan commercial banks which is distributed to the Board of Directors, managers, directors of departments, and personnel. The exploratory factor analysis (EFA) and the measurement model by using the first-order and second-order confirmatory factor analysis (CFA) have been applied as essential steps to embody the conceptual framework and test the research hypotheses.

The results of the EFA indicated sufficient correlation among the dimensions of the external environment. The CFA supported this study’s hypotheses. The modelling showed that the cultural-cognitive, normative and regulative dimensions are institutional constraints impeding Libyan commercial banks’ adoption of Islamic financial transactions. Interestingly, the findings of the CFA align with the EFA findings in supporting the conceptual framework of the research. They portrayed that the cultural-cognitive dimension has been identified by explicit and implicit cognition.

This study systematically embodies the dimensions of the external institutional environment, namely, cultural-cognitive, normative and regulative dimensions, as the main factors in the organisational field to be conceptually rich lenses to investigate social considerations to reinforce institutional thought broadly. The results of this study were consistent with extant Islamic financial literature, reflecting symmetry and similarity across commercial banks, particularly at the first stage of adopting Islamic financial transactions.

Employees may adopt deceptive knowledge hiding (DKH) due to nonworking time information and communication technology (ICT) demands. Drawing from the conservation of resources (COR) theory, this study aims to develop and test a model of deceptive knowledge hiding (DKH) due to nonworking time information and communication technology (ICT) demands.

In total, 300 service employees have joined the three-wave surveys. Path analysis and bootstrapping methods were used to test the theoretical model.

Results suggest that knowledge requests during nonworking time could deplete employees’ resources and increase their tendency to engage in DKH, whereas work recovery and emotional exhaustion mediate this relationship. In addition, employees’ work–family segmentation preferences (WFSP) were found to moderate the direct effects of nonworking time ICT demands on employees’ work recovery and emotional exhaustion and the indirect effects of knowledge requests after working hours on DKH through employees’ work recovery and emotional exhaustion.

First, the findings of this study shed light on the relationship between knowledge requests during employees’ nonworking time and knowledge hiding, suggesting that knowledge hiding could occur beyond working hours. Second, drawing on COR theory, this study explored two joint processes of resource replenishment failure and depletion and how nonworking time ICT demands trigger knowledge hiding. Third, the interaction effect of individuals’ WFSP and nonworking time factors on knowledge hiding deepens the understanding of when nonworking time ICT demands may induce knowledge hiding through various processes.

It is crucial for the Indian micro, small and medium enterprises (MSMEs) to implement a few of the most important Industry 4.0 (I4.0) technologies and reap maximum benefits of sustainability. This paper aims to prioritize I4.0 technologies that can help achieve the sustainable operations and sustainable industrial marketing performance of Indian manufacturing MSMEs.

I4.0-based sustainability model was developed. The model was analyzed using data collected from MSMEs by deploying analytic hierarchy process and utility-function-based goal programming. To have a better understanding, interviews were conducted.

Predictive analytics, machine learning and real-time computing were found to be the most important I4.0 technologies for sustainable performance. Sensitivity analysis further confirmed the robustness of the results. Business-to-business sustainable marketing is prioritized as per the sustainability need of operations of industrial MSME buyers.

This study uniquely integrates literature and practitioners’ insights to explore I4.0’s role in MSMEs sustainability in emerging economies. It fills a research gap by aligning sustainability goals of industrial buyers with suppliers’ marketing strategies. Additionally, it offers practical recommendations for implementing technologies in MSMEs, contributing to both academia and industry practices.