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The purpose of this paper is to examine whether the emotions and sentiments related to the outcome of the sporting event influence the investment making process.

This study uses the data on stock prices of firms sponsoring the Indian premier league (IPL) teams and data on Indian stock market. The event-study frameworks along with autoregressive moving average and GMM regression are employed to empirical quantify the impacts of the performance of the IPL teams on the stock market returns of the sponsors’ stocks and response of Indian stock market to the outcome of T-20 international matches.

The paper finds that the team winning IPL title in a season has a positive impact on the returns of the sponsors’ stocks of a particular team, whereas loss of team has a negative impact on returns. The outcome of the cricket matches played by team India in the T-20 has a negligible effect on the Indian stock market.

The finding of the study implies the coexistence of emotions and rationality at different points in time and the relevance of adaptive market hypothesis to explain such time-varying behavior.

The present investigation is first of its kind to test whether the performance of the IPL cricket team can influence the stock returns of the sponsors. This research shows that sentiment related to sports event such as cricket influences the decision-making process and thus affects underlying stock prices.

The concept and practice of e-services has become essential in business transactions. Yet there are still many organizations that have not developed e-services optimally. This is especially relevant in the context of Indonesian Airline companies. Therefore, many airline customers in Indonesia are still in doubt about it, or even do not use it. To fill this gap, this study attempts to develop a model for e-services adoption and empirically examines the factors influencing the airlines customers in Indonesia in using e-services offered by the Indonesian airline companies. Taking six Indonesian airline companies as a case example, the study investigated the antecedents of e-services usage of Indonesian airlines. This study further examined the impacts of motivation on customers in using e-services in the Indonesian context. Another important aim of this study was to investigate how ages, experiences and geographical areas moderate effects of e-services usage.

The study adopts a positivist research paradigm with a two-phase sequential mixed method design involving qualitative and quantitative approaches. An initial research model was first developed based on an extensive literature review, by combining acceptance and use of information technology theories, expectancy theory and the inter-organizational system motivation models. A qualitative field study via semi-structured interviews was then conducted to explore the present state among 15 respondents. The results of the interviews were analysed using content analysis yielding the final model of e-services usage. Eighteen antecedent factors hypotheses and three moderating factors hypotheses and 52-item questionnaire were developed. A focus group discussion of five respondents and a pilot study of 59 respondents resulted in final version of the questionnaire.

In the second phase, the main survey was conducted nationally to collect the research data among Indonesian airline customers who had already used Indonesian airline e-services. A total of 819 valid questionnaires were obtained. The data was then analysed using a partial least square (PLS) based structural equation modelling (SEM) technique to produce the contributions of links in the e-services model (22% of all the variances in e-services usage, 37.8% in intention to use, 46.6% in motivation, 39.2% in outcome expectancy, and 37.7% in effort expectancy). Meanwhile, path coefficients and t-values demonstrated various different influences of antecedent factors towards e-services usage. Additionally, a multi-group analysis based on PLS is employed with mixed results. In the final findings, 14 hypotheses were supported and 7 hypotheses were not supported.

The major findings of this study have confirmed that motivation has the strongest contribution in e-services usage. In addition, motivation affects e-services usage both directly and indirectly through intention-to-use. This study provides contributions to the existing knowledge of e-services models, and practical applications of IT usage. Most importantly, an understanding of antecedents of e-services adoption will provide guidelines for stakeholders in developing better e-services and strategies in order to promote and encourage more customers to use e-services. Finally, the accomplishment of this study can be expanded through possible adaptations in other industries and other geographical contexts.

The purpose of this study is to investigate the impact factors towards the use of mobile banking among the asnaf for efficient zakat payments by using the unified theory of acceptance and use of technology (UTAUT2) model with additional constructs such as religiosity, attitude and trust (initial trust model) in the Malaysian context.

The structural equation modelling is used to analyse the data collected from 470 asnaf in Selangor, Malaysia, using the survey methodology.

This study highlights factors that could influence the asnaf to adopt financial technology (fintech) in order for them to enjoy the benefit of efficient zakat distribution by the zakat institutions.

This study only investigates and contributes added value from the Malaysian context. While it may be similar to other countries that share similar demographic profiles, it might differ for countries that do not have any demographic similarities with Malaysia.

The result of this study highlights the significant factor that practitioners (zakat institutions) in Malaysia could improve fintech adoption and at the same time enhance the efficiency of zakat distribution for the asnaf.

This research is basically addressing Islamic social financing. Thus, this study has social implications to address the society's poverty eradication scheme pertaining to the efficiency of zakat institutions in Malaysia for the speedier zakat payments to the asnaf. However, other emerging issues also arise particularly in using the zakat funds by the zakat institutions. By right whatever expenditure that the institutions use from the zakat funds need to have the consent from the asnaf because of their religious and legal rights. Hence, this new gap found from the findings of this study could be further explored by other researchers in future studies especially focusing on the drive towards more efficient administration by the zakat institutions of Malaysia in particular and other zakat institutions spread over Muslim countries elsewhere.

This study found that the UTAUT2 model is rarely used and adopted in investigating technology acceptance and adoption especially when it is related to religious matters such as zakat. Indeed, the findings of this study could be acknowledged as something of original value and significance, therefore contributes to the body of knowledge in this field.

This research sought to examine the differential effect of chatbot banking artificial intelligence (AI) on consumer experience in the banking industry. A positivist paradigm was adopted to sample 389 consumers who were previously exposed to chatbot banking in Zimbabwe. A causal research design was employed whilst a quantitative approach was followed. In analysing data, the research study applied the structural equation modelling (SEM) technique. The authors found that chatbot banking significantly improves customer experience (CX) in the banking industry. Reliability and responsiveness of the chatbot need to be enhanced for effective improvements in CX. A need was also identified to enhance CX through the development of an ease-to-use chatbot which is embedded in everyday messaging applications of consumers. A significant association was also found between perceived benefits of chatbot banking and CX. This study informs the development of competitive advantage by banks and other related companies through AI-based CX management strategies. In times of pandemics and beyond, chatbot banking can be very instrumental in improving CX.

The sharing economy is changing the way people use products and services, and the success of sharing-based apps like bicycle and automobile sharing has drawn a lot of interest across the world. The purpose of this research is to investigate the factors affecting the consumer's adoption of ride-sharing services.

With this aim, the current study integrates the Technology Acceptance Model (TAM) and Expectancy Confirmation Model (ECM) with a further extension of consumer trust and social norms. Using a survey-based research design, data were collected from 558 respondents using multi-stage convenience sampling on 5 point Likert scale. Confirmatory factor analysis is conducted followed by structural equation modelling using IBM AMOS-22.

The findings of the study report crucial determinants for the consumer's continuance intention and actual use of these services. Perceived usefulness, consumer satisfaction, trust and subjective norms were found positively associated with the continuous intention to use ride-sharing services, whereas perceived ease of use was found to be insignificant. This study also highlights antecedents for the consumer's trust towards these services and found reputation, propensity to trust as a significant contributor whereas structural assurance was found insignificant to establish the trust among the users.

The research on consumer adoption towards ride-sharing services are meagre and this study adds the value to the field by integrating TAM and ECM model with further extension of consumer trust and social norms and empirically test the proposed model.

The purpose of the study is to examine the obstacle in doing business and determinants of credit adoption by the textile enterprises in India.

The study is based on World Bank’s Enterprises Survey, there are 571 enterprises involved in textile business. The enterprises survey has response on wide range of business obstacles which are categorized under three broad categories, namely, access to resource, business regulations and market externalities. Chi-square test and analysis of variance (ANOVA) have been used to examine the significant difference among firm’s profile and perceived business obstacles across the firm size. Furthermore, binary logistic regression model has been applied to explore the determinants of credit adoption by textile enterprises.

A statistically significant difference has been found in size of firms and legal status nature of establishment, gender of top manager, main product market and credit adoption from financial institutions. Majority of small- and medium-sized enterprises (SMEs) are sole proprietorship firm while large enterprises are limited partnership firms. Similarly, large enterprises have relatively more female as a top manager and international market for their product. ANOVA reveals equal degree of obstacles in doing textile business across the firm size. The logistic regression coefficient and marginal effects reveal that firm size, main market,gender of owner, number of establishment in the firms positive and significantly affects the credit adoption by 3 textile enterprises.

The study has some policy implications for various stakeholders such as textile business managers and promoters, government, investors and bankers for entrepreneurship development in textile sector. The study suggests that the government should incentivize small- and medium-sized businesses to increase their exports. The results show that despite government efforts to finance SMEs, fewer SMEs are receiving both short- and long-term credit. To help SMEs in the textile industry overcome financial difficulties and expand their main product market to both domestic and international levels, a soft loan should be provided based on the characteristics of textile enterprises.

The present study suggests the evidence-based understanding of textile business environment. The value and uniqueness of this study is to explore an ease of business textile sector using comprehensive enterprises survey data of World Bank.

The purpose of this paper is to present a critical review of research in information and equipment technology adoption in the construction industry. The study also aims to formulate a conceptual framework of the different stages in the adoption process identify gaps in the existing literature and to provide a holistic picture of contemporary research in technology adoption in construction research literature.

A generic framework is initially proposed containing the fundamental concepts of “pre-adoption”, “adoption” and “post-adoption”. The review separates the literature according to three key perspectives: “socio-economic”; “managerial”; and “psychological”. The applicability of the existing approaches to the construction context is discussed, and then a new conceptual framework for construction is developed.

Significant gaps in the understanding of construction technology adoption are identified that provide an interesting agenda for future research. A Construction Technology Adoption Framework is presented, which draws together all of sub-processes involved in technology adoption. This framework covers key activities of both the vendor and the customer.

The study has been restricted to information technologies and construction equipment technology. Other construction technologies, such as formwork systems, have not been examined.

The new framework provides a direction for research into the technology adoption process including key sub-processes and potential research areas. The framework also assists vendors to influence customers’ decision-making processes, and guides new customers in setting up their own decision procedures.

This paper departs from earlier research by focusing on information and equipment technology adoption rather than innovation adoption in general. In addition, this paper considers both sides of the adoption equation (vendor and customer), which is in contrast to previous binary studies which considered one side or the other. It delineates the boundaries of different concepts such as diffusion, adoption, acceptance and implementation, which have been interchangeably used in previous studies. This paper introduces the concept of dissemination to construction, which has previously been investigated in other industries.

Cloud manufacturing (CMfg) has emerged as a service-oriented paradigm that enables modularization and on-demand servitization of resources in the context of manufacturing. The plethora of studies on CMfg has led the authors to investigate its implementation, as most of the literature is theoretical or simulation-based. Therefore, the purpose of this study is to investigate the reality of the CMfg concept in terms of adoption.

A tri-theoretic model is developed using the technology adoption model, diffusion of innovation and technology-organization-environment for hypotheses development. Data are collected from 218 US manufacturers. The data analysis approaches are partial least squares structural equation modeling, while data visualization is done to further analysis.

The study shows that most of the US manufacturers are reluctant to adopt the CMfg. Further, the statistical findings imply that competitive pressure, top management support, compatibility and trialability play a vital role in its adoption. The success of the CMfg adoption relies on the implementation of the pre-installation stage and the top management decisions.

For practitioners, the study provides insight on how to supervise the CMfg platform implementation to improve the adoption process. For researchers and academicians, the significance of trialability provides a wide range of research topics on developing the CMfg trials and models.

This paper highlights the concerns of manufacturers about the pros and cons of the CMfg adoption, as this topic has not been given due attention in the literature. This will help to align future research directions according to market concerns and mitigating the factors that are hindering its adoption.

Social enterprises are organizations striving to address social issues. These enterprises sell products to be self-sustainable. Social entrepreneurial success depends on the intention of consumers to purchase social enterprise products. This study aims to assess and understand the consumer intention to buy social enterprise products.

This descriptive study integrates consumers’ emotional values with the theory of planned behaviour as a framework. The intention is to investigate the role of customer emotion in mediating the relationship between predictor and predicted variables. A mixed sampling technique is adopted to select sample units from the consumers with a consideration for regional balance. Data from 336 respondents were collected using a survey instrument administered online.

Structural equation modelling shows that among the three predictor variables, only attitude has a direct impact on consumer’s purchase intention, while subjective norms have an indirect impact through the mediating variable (emotional value). Behavioural control showed no effect on consumer’s purchase intention of products sold by social enterprises.

The results of this study have theoretical as well as practical implications. The success of social enterprises depends on the acceptance of their products by consumers. The social enterprise can strategize its marketing communications to strengthen the emotional values, attitudes and subjective norms of the consumers so that the market acceptance for these products can be increased.

This paper aims to explore authenticity as a multidimensional construct from both consumer and service provider perspectives in the context of culturally themed restaurants in Kolkata, India.

Utilizing a phenomenological design, data have been collected through participant observation, photographs and semi-structured interviews in Bengali-themed restaurants over a two-year period.

By articulating the processes and dimensions that operate behind the narrative of authenticity, the findings display the interaction between market/cultural forces and the perception of authenticity. These reveal that authenticity embraces four major categories, namely, traditional, staged-form, postmodern and constructivist.

This study provides insights into the collective role of both consumers and service providers in mediating perceptions of authenticity. Theoretically, this study contributes to the literature by articulating four dimensions of authenticity.

Practically, this study assists marketers with insights into the balance of authenticity and the commoditization of culture.

As globalization weakens cultural boundaries and jeopardizes regional identities, there is a need for reassuring cultural continuity that upholds ethnic legacy for local consumers. Thus, this study provides theoretical and practical insights for both researchers and practitioners concerned about maintaining authenticity in a global marketplace.