Search results

This research examines the drivers of electric vehicle (EV) acceptance in the Kingdom of Saudi Arabia (KSA) by applying the unified theory of acceptance and use of technology (UTAUT) model, contextualized for the EV setting. The study aims to provide insights supporting the transition to sustainable transportation and identifying consumer perceptions and behavioral intentions toward EV adoption.

Based on survey data from a convenience sample collected from undergraduate and MBA students in a major university of KSA, the authors use seemingly unrelated regressions to provide novel insights on electric vehicle acceptance.

The study shows UTAUT constructs influence purchase intentions and attitudinal outcomes. Results indicate that perceived EV sustainability plays an important role in the relationship between UTAUT constructs and purchase intention alongside attitudes toward EV technology. Technological innovativeness enhances the impact of EV attitude and weakens the effect of perceived EV sustainability on purchase intention.

The study benefits researchers on sustainable technology acceptance and stakeholders facilitating sustainable transportation shifts. The insights guide the promotion of eco-friendly transportation solutions.

The research contextualizes and extends the UTAUT model constructs to understand drivers of EV acceptance. The study contributes to understanding sustainable innovation acceptance, considering the mediating role of perceptions of EV sustainability and the moderating role of technological innovativeness in driving purchase intentions.

The non-fungible token (NFT) market has been multiplying in recent years. NFTs are tokens stored on a blockchain network based on smart contract technology that can be used to represent ownership of digital assets and cannot be changed like-for-like. With NFTs, all recorded digital properties can be freely traded and stored with values, making them possible to increase content transactions' privacy and security. In addition, NFTs engender new ways to organize, consume, share and store digital content. Despite the rapid growth of the NFT market, related consumer behaviors have yet to be well-known and relevant academic research results are very scarce. This study aims to explain how NFT fits with blockchain and cryptocurrency and how consumers accept it. This paper also develops a structured causal model with multiple paths to explain the antecedents and attitude variables for NFT acceptance.

The data collection was conducted from 542 young consumers in Korea via an online survey. The structural equation modeling method was used to analyze the hypotheses.

Attitudes toward technology and assets positively affect NFT purchase behavioral intentions. Additionally, symbolic driver affects behavioral intention directly.

The results expanded the understanding of the NFT market and consumers, which are still in their early stages. They also provide valuable insights for establishing future market strategies for NFT.

This study aims to delve into the lived experiences, challenges and visions of women entrepreneurs in Jordan, placing a magnifying glass on those spearheading or co-pioneering start-ups. It aims to understand the myriad factors that influence their entrepreneurial journey, from motivation to the future of their niche.

Adopting a qualitative lens, this study is anchored in semi-structured interviews encompassing 20 Jordanian women entrepreneurs. Following this, thematic analysis was deployed to dissect and categorize the garnered insights into ten salient themes.

The study reveals that personal experiences and challenges are pivotal in directing these women towards niche markets, aligning with the theory of planned behaviour (TPB). Tools such as digital instruments, customer feedback and innovative strategies like storytelling and augmented reality are integral to their entrepreneurial success, resonating with the resource-based view (RBV). Additionally, challenges like cultural barriers and infrastructural limitations are navigated through adaptive strategies, reflecting the resilience inherent in these entrepreneurs. Networking, mentorship, embracing technological advancements and implementing sustainable practices are highlighted as crucial elements underpinned by the social identity theory (SIT).

Contrary to the extant body of research, this study provides new insights into the challenges faced by women entrepreneurs in Jordan, highlighting the practical relevance of theories like TPB, RBV and SIT for both policymakers and the start-up community in niche markets.

This study aims to investigate the role of three customer equity drivers on customer repurchase intent in business-to-business (B2B) markets. It also explores the interconnected nature of equity drivers, specifically, the effects of brand equity and value equity on relationship equity. Further, it investigates how perceived switching costs moderates the interrelationships between customer equity drivers. The authors explore the interrelationships between the customer equity drivers in a B2B context involving commodity products in a developing market.

Data collection was done from a pool of 184 institutional customers of a lubricant brand in a developing market. The sample had representations of buyer organizations across sectors, namely, automobile, cement, metal, fertilizer, railway, defence and mining, etc. The final data were subjected to partial least squares-based structural equation modeling to test the hypothesized model.

The study found a direct effect of brand equity, and value equity on relationship equity and an indirect effect on repurchase intent, namely, relationship equity. Perceived switching cost was found to moderate the interaction between brand equity and relationship equity as well as between value equity and relationship equity. The direct effect of relationship equity on repurchase intent was also significant.

The study implies that B2B firms should ground their marketing program on these customer equity drivers, especially when dealing with commodity products. The absence of any of these drivers would be detrimental in customer retention. The study also establishes the relevance of switching cost(s) and its impact on the underlying dynamics between the different equity drivers in the context of commodity products. The customer equity drivers along with switching costs, if managed well, may become switching barriers for customers and eventually would ensure recurring revenue through repeat purchases.

To the best of the authors’ knowledge, this is one of the first studies that focuses on the disaggregated effect of customer equity on customer outcomes in the B2B context. Furthermore, this study investigates how perceived switching costs moderates the interrelationships between customer equity drivers in the industrial sales context in an emerging market.

There is little knowledge to date regarding the influence of the COVID-19 health crisis on tourists' intention to travel differently in the future. This paper addresses this and explores its determinants. The objective of the present study is to determine to what extent the Spanish tourists affected by COVID-19 may change the way they travel in the future, according to the perceived risk of travel in a pandemic context.

Between May and June 2020, the authors conducted a survey with a sample population of Spanish tourists who were resident in Spain during the COVID-19 pandemic, for the purposes of studying the role of attitudes and risk in the intention to change the way they want to travel in the future. Cluster analysis and one-way ANOVA were conducted to assess differences among the respondents. Finally, some models were built using the linear regression technique in order to evaluate the role of attitudes in the tourists' adaptive response to the perceived risk of travel.

Results confirm the formation of a new way of life influencing tourists' intentions to travel more sustainably. Accordingly, tourists with a previous environmental attitude are less interested in visiting mass tourism beach destinations in the future. However, changes in the way some tourists travel can also be read as an adaptive and temporary response to the perceived risk of contracting the disease, and do not point to a reduction of the vital importance of tourism in their lives.

The exploratory nature of the study and the lack of similar international analyses does not allow the authors to contrast its results at a global level, though it offers a starting point for future research in other countries. There are also methodological limitations, since the field work was carried out between the first and second waves of the disease, at a time when the pandemic was in remission, possibly affecting the orientation of some responses, given the desire to recover normalcy and “normal” travel, and this may have influenced the priority given to tourism.

This study gives new insights into the debate on the social transformation of the collective consciousness. Despite some signs of change, part of the Spanish tourists are still anchored in traditional tourism practices embedded in cultural factors, which can hinder sustainability in the Spanish tourism industry. The experience of the COVID-19 crisis has not been sufficient to change the declared travel habits of Spanish tourists. Therefore, progress towards the definition of a new tourism system that implies the effective transformation of demand will require applying policies and promoting institutional innovation and education to create paths that facilitate transformative experiences.

The study is focused on the analysis of the relationship between attitudes and risk perception, including novel elements that enrich the academic debate on social progress in the transformation of tourism and the possibilities of promoting a reset from the demand side. Moreover, it incorporates, for the first time, the COVID-19 as it was experienced as an explanatory variable to analyse the changing travel attitudes in a post-COVID-19 era. The analysis of the psychosocial mechanisms of risk offers a good opportunity for a better assessment of post-pandemic demand risk perception. Finally, the study offers empirical evidence on how Spanish tourists are reimagining their next and future holidays, which can be highly valuable for destination managers.

The growing demand for housing and infrastructure, as well as the requirement for affordable housing, has been a significant factor, necessitating investigation for sustainable approaches and implementation of alternative construction innovations. Hence, this study aims to identify and assess the drivers for implementing modular construction systems (MCS) in developing countries.

The study adopts a quantitative research approach to seek respondents’ opinions on the factors that can drive the implementation of MCS in developing countries. Accordingly, a structured questionnaire was used as an instrument of data collection based on five Likert scales. The data was analysed using the mean score, one sample t-test, Kruskal–Wallis, factor analysis (FA) and Pearson correlation analysis.

Results show that 15 of the 16 major identified drivers were statistically significant towards implementing MCS, which indicates that the drivers are crucial for implementing MCS in developing countries. However, the Kruskal–Wallis test reveals that the respondents have varying opinions on the identified drivers. FA categorised the drivers into four categories, namely, “management and sustainability”, “key performance”, “know-how and logistics” and “regulations and policies”. A strong relationship among the four categories of drivers was established using Pearson correlation, which indicated that all the drivers’ categories are essential for implementing MCS in developing countries.

This study identified and assessed the drivers towards implementing MCS in developing countries. The study concludes that the identified drivers are essential for implementing MCS in developing countries. Also, the study considers the government the most placed player in driving the implementation of MCS in developing countries.

By following the “employee-centric” approach, this study aims at identifying the impact of high-performance work systems (HPWS) on specific employee attitudinal outcomes such as work engagement, job satisfaction and affective commitment in the Indian healthcare industry.

The target population for this study includes the nurses working in large private multi-specialty tertiary care hospitals in India. Partial Least Squares Structural Equation Modelling (PLS-SEM) techniques are used on a sample of 152 nurses working in two large specialty hospitals.

In the Indian healthcare industry context, the nurse's perception of HPWS has shown a significant positive effect on their attitudinal variables such as work engagement, job satisfaction and affective commitment. When checked for mediation of work engagement and job satisfaction variables in HPWS – affective commitment relationship, nurse's job satisfaction partially mediated the relationship, but nurse's work engagement has shown no mediation effect.

This is one of the pioneering studies conducted in the Indian healthcare industry context, especially on the nurse's sample in identifying the impact of high-performance work systems on their attitudinal outcomes. Underscoring the paucity of HPWS research in the Indian healthcare industry, this study's findings will be an addition to the HPWS literature and also to the nursing research in the Indian healthcare settings.

By adopting a cultural lens, this study aims to conceptualize destination-community hospitality to capture societal hospitality at the destination as an intangible asset. Destination-community hospitality comprises a set of attitudes and traits that are organically conveyed by community members and directly experienced by tourists. The paper contributes to efforts aimed at freeing hospitality from the confines of commercial lodging and food and beverage establishments.

This study proposes an affection–attention–awareness (AAA) framework by drawing on the pertinent literature and leveraging the affective–behavioral–cognitive model of attitudinal change. It focuses on the effects of cognition in conceptualizing destination-community hospitality as the core of the framework. Methodologically, the framework is illustrated with qualitative data including observational fieldwork and interviews conducted in Iran.

Illustration of the AAA framework in the context of Iran highlights how welcoming attitudes are leveraged at a destination as an ingrained community mindset even in the absence of formal initiatives or professional training. It underscores the hospitality advocacy role of local-community members irrespective of public-sector policy and capacity deficiencies.

Destinations that strive to attract tourists should tap into the significant wealth of intuitive hospitality within communities as an intangible resource. The ingenuity should be preserved to sustainably enhance the overall tourist experiences. The framework can serve as a guide to strategically facilitate destination-community hospitality.

Research on community-wide hospitality at destinations, as a major cultural asset in the context of strategic hospitality management, remains underdeveloped. With illustrative evidence, the findings elevate the critical role of community members as innate advocates of hospitality in developing destinations. The proposed framework of destination-community hospitality provides a new perspective and impetus for investigating hospitality beyond commercial domains.

Future service interactions are anticipated to use humanoid robots in a society that is shifting to a digitalized era. Currently, it is evident that many businesses are replacing service interactions with self-service technologies (SSTs). This movement creates substantial societal changes that researchers have not paid sufficient attention to comprehend. In this setting, the purpose of this study is to examine the social drivers that influence customer mobility toward co-creating value via SSTs. The study also seeks to discover variations in customers' willingness and capacity to adopt SSTs.

To fulfill the research aims, a qualitative technique was adopted, with semistructured interviews conducted with 25 SST users from varied demographic backgrounds. To recruit individuals for the study, a nonprobabilistic purposeful sampling technique was adopted, with the goal of employing information-rich instances. The data were analyzed using thematic analysis.

The study identified eight social drivers that are important in the customer transition toward co-creating value with SSTs. According to the study, SSTs are characterized as a social trend in which adoption is accepted (social norm) and modifies social connections in a new direction. Using SSTs has evolved into a socializing tool that gives people social acknowledgment. Some people see SSTs as social pressure, putting them at a disadvantage if they do not adopt. People, on the other hand, acquire sufficient social support and independence to use SSTs. Customers were categorized into four groups depending on their willingness and ability to embrace SSTs: trendsetters, dreamers, old-fashioned and stragglers.

In practice, service providers can use this knowledge to successfully promote their SSTs and create enhanced client experiences through technological interfaces.

The study adds new knowledge by identifying social determinants in customer shifts toward SSTs, a phenomenon that has not been studied previously, and it adds to marketing theory by proposing a typology to group customers based on their ability and willingness to embrace SSTs.

Understanding how to retain users of augmented reality (AR) shopping apps and to motivate them to purchase is vital to the success of AR apps. This study assessed the chain effect of AR attributes on purchase intention and reuse intention through cognitive and affective factors.

The data were collected from Thai users of the IKEA Place app using an online survey. A link to the survey was posted on Thai furniture groups on social media platforms. The 439 responses were analysed using the partial least squares (PLS) approach.

The results revealed that all four AR attributes, namely interactivity, vividness, novelty and spatial presence, significantly influence perceived enjoyment, perceived diagnosticity and perceived value. Brand attitude, as a key driver of purchase intention, is influenced by perceived value. Attitude towards the app significantly affects reuse intention and is affected by affective and cognitive factors.

The findings enable shopping app designers and marketers to successfully promote the brand, retain users and boost sales by effectively incorporating AR.

The study extends the literature on the impacts of AR apps on customer behaviours by including affective factors in addition to cognitive factors to explain why AR attributes influence customer attitudes and behaviours. Furthermore, the study demonstrates the serial causal paths from AR attributes to customer behaviours.