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1 – 10 of over 2000Rishi Kant, Babeeta Mehta, Deepak Jaiswal and Audhesh Kumar
The purpose of this present study is to analyze the role of consumers' social-psychological attributes, fiscal incentives and socio-demographics in the adoption intention and the…
Abstract
Purpose
The purpose of this present study is to analyze the role of consumers' social-psychological attributes, fiscal incentives and socio-demographics in the adoption intention and the willingness to pay more for electric vehicles (EVs).
Design/methodology/approach
A cognitive linkage model of “beliefs-intention-willingness” is analyzed using valid responses obtained from Indian consumers. The model is statistically tested at three levels: direct path effect of social-psychological attributes with financial incentives (subjective norm, personal norm, affective attitude, perceived knowledge) on adoption intention and willingness to pay, followed by the mediation of intention and the moderation of socio-demographics.
Findings
The findings reveal that the adoption intention and the willingness to pay are directly driven by all analyzed factors except financial incentives, which is not significantly associated with willingness to pay. Moreover, the adoption intention partially mediated the relation between all socio-psychological measures and willingness to pay, whereas full mediation of incentives is supported. Furthermore, the moderating effect of socio-demographics (gender, education, income) supports the integrated research model.
Research limitations/implications
The generalizability of findings may be warranted due to the limited sample territory and the sample's youth. However, young people, or millennials, are more receptive to new technologies such as electric or carbon-free automobiles. The research advocates marketers and manufacturers to craft policy interventions and strategies to upsurge the EV demands in the backdrop of emerging markets.
Originality/value
This timely study adds to the extant literature on green and clean technology automobile adoption by exemplifying the relationship between socio-psychological beliefs, intention and willingness to pay at three dimensions of contextual factors. The current study endeavors to endorse the “beliefs-intention-willingness” cognitive linkage framework in the context of Indian green transportation.
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Josep Garcia-Blandon, Josep Argilés-Bosch and Diego Ravenda
This study aims to investigate whether chief executive officer (CEO) demographics are associated with gender diversity in senior management in the Scandinavia region.
Abstract
Purpose
This study aims to investigate whether chief executive officer (CEO) demographics are associated with gender diversity in senior management in the Scandinavia region.
Design/methodology/approach
The research design draws on multivariate cross-sectional analysis. The demographic characteristics examined are gender, age and education. A total of six hypotheses are developed and tested. The sample includes the largest 106 public firms from Denmark, Finland, Norway and Sweden.
Findings
Results show that firms with female CEOs have more women in senior management than other firms. However, neither age nor level of formal education of CEOs shows significant results, with the exception of CEOs holding MBA degrees, who are associated with fewer women in these positions. Interestingly, the association between educational background and gender diversity is principally driven by study-abroad experiences. Finally, results show that gender diversity in senior management has an important country component, whereas the industry component is negligible.
Originality/value
The relationship between managers’ demographics and gender diversity among subordinates is a relatively unexplored research issue, as previous works have focused on general comparisons between male and female managers. Furthermore, the Scandinavian context is particularly interesting as this region leads gender equality rankings.
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INTERNATIONAL: Demographics will be a key GDP driver
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DOI: 10.1108/OXAN-ES286095
ISSN: 2633-304X
Keywords
Geographic
Topical
Ebtesam M. Khassawneh and Fahed A. Khasawneh
This paper aims to study the Zabdah housing project residents’ satisfaction on both dwelling and neighborhood levels. In addition, the determinants of residents’ satisfaction are…
Abstract
Purpose
This paper aims to study the Zabdah housing project residents’ satisfaction on both dwelling and neighborhood levels. In addition, the determinants of residents’ satisfaction are studied.
Design/methodology/approach
A mixed methodology approach was used, merging quantitative and qualitative methods. The questionnaire was developed and filled out through structured interviews. Descriptive statistics and multiple linear regression were used to understand the residents’ satisfaction levels. In addition, the chi-square test of independence was used to determine whether demographics and dwelling type were related to residents’ satisfaction.
Findings
It was found that the residents’ satisfaction level with Zabdah housing was moderate on both dwelling and neighborhood levels. On the dwelling level, the tiny dwelling areas were a fundamental problem. On the neighborhood level, good neighborhood services were crucial to the success of this project, while the lack of green spaces negatively affected the quality of life of its residents. In addition, the number of family members and dwelling types were critical determinants of residents’ satisfaction.
Practical implications
The findings can be developed into guidelines to govern the creation of better affordable residential environments. Furthermore, the successful dwelling typologies in this project can be modified to be adopted in the future.
Originality/value
To the best of the authors’ knowledge, this is the first study of its kind to explore the relationship of demographics and dwelling type with residents’ satisfaction in affordable housing in Jordan.
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Annelot Wismans, Peter van der Zwan and Roy Thurik
Lockdowns and the forced closure of certain industries during the COVID-19 pandemic severely impacted workers, particularly entrepreneurs, who were financially and emotionally…
Abstract
Purpose
Lockdowns and the forced closure of certain industries during the COVID-19 pandemic severely impacted workers, particularly entrepreneurs, who were financially and emotionally involved in their businesses. Two studies have shown that entrepreneurs have a lower willingness to get vaccinated against COVID-19 than employees. In this study, the authors try to replicate the vaccination gap between the two groups. Second, the authors study whether the difference persists when controlling for demographics, vaccination attitudes and the COVID-19 context, including the financial impact of the pandemic, its effect on the wellbeing of workers, and government attitudes. Third, the authors study whether there are differences in how the context of the pandemic relates to vaccination willingness for entrepreneurs and employees.
Design/methodology/approach
The authors conduct regression analyses using three large datasets. The authors study vaccination status (February 2022) in a 27-country Eurobarometer sample, vaccination intention (December 2020) in a Dutch sample from the LISS panel and vaccination status (July 2021) in a sample from the Understanding America Study (UAS).
Findings
All datasets confirm that entrepreneurs have lower vaccination intention and coverage than employees. Even when controlling for the variables described in the LISS and UAS datasets, this negative difference remains. The study results also indicate that demographics, especially vaccination attitudes, are much more important than contextual influences in the decision to get vaccinated against COVID-19.
Originality/value
The authors are the first to dive further into the vaccination differences between entrepreneurs and employees. They advise further research into the drivers of this gap, specifically relating to the role of personality and social normative influences.
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Saniya Bhutani and Kamlesh Singh
The purpose of this study is to adapt and validate Edinburgh social cognition test (ESCoT) for Indian children. In addition, exploring the effect of demographics on ESCoT.
Abstract
Purpose
The purpose of this study is to adapt and validate Edinburgh social cognition test (ESCoT) for Indian children. In addition, exploring the effect of demographics on ESCoT.
Design/methodology/approach
For content validity, 10 practicing psychologists and clinical psychologists gave their feedback about the test scenarios based on which the items were retained. The adaptation process involved 100 participants aged between 6 and 12 years. Informed consent from parents and verbal assent from the participant were taken. Demographics were collected. Measures were individually administered. Data was scored and analyzed.
Findings
Seven out of 10 scenarios were retained in content validity. Convergent validity, internal consistency and interrater reliability were found to be acceptable. Regression analysis indicates that age significantly predicts performance on ESCoT. Age is associated with the cognitive theory of mind, affective theory of mind and interpersonal social norms understanding.
Originality/value
The study provides evidence for validation of ESCoT. Results indicate acceptable psychometric properties of ESCoT. Thus, it is suitable for Indian settings and amongst children.
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Syed Aasif Ahmad Andrabi and Fayaz Ahmad Loan
The purpose of this study is to apply altmetrics and bibliometric indicators on the top 100 most mentioned articles published related to the sustainable development goal (SDG)-13…
Abstract
Purpose
The purpose of this study is to apply altmetrics and bibliometric indicators on the top 100 most mentioned articles published related to the sustainable development goal (SDG)-13, Climate Action.
Design/methodology/approach
The authors used the Altmetric Explorer’s SDGs filter to extract the most mentioned articles belonging to Climate Action and their other characteristics, such as DOI, titles, tools mentioning them and their demographic descriptions. The same set of papers was searched in the Dimensions database to extract them in the format importable in R-studio to check the distribution of papers across various journals and identify their subject category, countries and institutions publishing these papers. Further, SPSS was used to check the correlation between altmetric attention score (AAS) and citations.
Findings
The results of the paper showed the mean of AAS and the citations received by the articles was 3,556.35 and 304.04, respectively. Twitter has been the most used social media platform for mentioning the research related to climate action, covering 88.1% of the total mentions. The Twitter and the News mention demographics show the USA contributing the most tweet mentions (15.2%) as well as news mentions (57.65%) to the papers. Also, the USA has solely published 49 papers from the total papers selected for the study. The papers were published in 31 journals most of them belonging to the quartile first (Q1) category and primarily belonged to the subject category “Earth Sciences.” Pearson’s correlational method showed a significant but low positive correlation between AAS and citation counts (r = 0.365, p = <0.001) and a strong positive correlation between the citations and Mendeley readership counts (r = 0.907).
Originality/value
The research is original in nature and discovered very interesting results about climate action using altmetric and bibliometric techniques.
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Agnieszka Maria Koziel and Chien-wen Shen
This research aims to comprehend the factors that impact the emerging inclination of consumers toward mobile finance technology (fintech) services over banking institutions. The…
Abstract
Purpose
This research aims to comprehend the factors that impact the emerging inclination of consumers toward mobile finance technology (fintech) services over banking institutions. The study focuses on users' demographics and psychographics to delineate their unique segments and profiles.
Design/methodology/approach
The study proposes a segmentation and profiling framework that includes variance analysis, two-step cluster analysis and pairwise statistical tests. This framework is applied to a dataset of customers using a range of mobile fintech services, specifically robo-investment, peer-to-peer (P2P) payments, robo-advisory and digital savings. The analysis creates distinct customer profile clusters, which are later validated using pairwise statistical tests based on segmentation output.
Findings
Empirical results reveal that P2P payment service users exhibit a higher frequency of usage, proficiency and intention to continue using the service compared to users of robo-investment or digital savings platforms. In contrast, individuals utilizing robo-advisory services are identified to have a significantly greater familiarity and intention to sustain engagement with the service compared to digital savings users.
Practical implications
The findings provide financial institutions, especially traditional banks with actionable insights into their customer base. This information enables them to identify specific customer needs and preferences, thereby allowing them to tailor products and services accordingly. Ultimately, this understanding may strategically position traditional banks to maintain competitiveness amidst the increasing prominence of fintech enterprises.
Originality/value
This research provides an in-depth examination of customer segments and profiles within the mobile fintech services sphere, thus giving a nuanced understanding of customer behavior and preferences and generating practical recommendations for banks and other financial institutions. This study thereby sets the stage for further research and paves the way for developing personalized products and services in the evolving fintech landscape.
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Shahid Rasool, Hasan Aydin and Jingshun Zhang
The purpose of this quantitative study was to fill the knowledge gap and to investigate relationships between cultural background and various demographic factors influencing…
Abstract
Purpose
The purpose of this quantitative study was to fill the knowledge gap and to investigate relationships between cultural background and various demographic factors influencing parental involvement behaviors that prompt them to engage in their children's academic activities.
Design/methodology/approach
A quantitative research method was used to collect data to answer research questions and explore relationships between variables (Fraenkel et al., 2015). The researchers created the survey on Qualtrics and conducted a pilot study to improve the survey based on the recommendations of the pilot study's participants. Some items were reworded suggested by an expert committee to finalize the instrument. This survey mainly consisted of two sections to collect data on participants' demographics and cultural background. The participants used multiple-choice options to answer items pertaining to family demographics. They were asked to use a 5-point Likert scale: very often = 5, often = 4, sometimes = 3, rarely = 2 and never = 1 to respond to survey items regarding cultural background and parental involvement behaviors.
Findings
The correlation coefficient showed a statistically significant relationship between parents' expectations, educational level and their involvement behaviors in children's academic achievement. However, parents' income and cultural background had no statistically significant relationships with parental involvement in their children's academic achievement.
Research limitations/implications
The results of this study have potentially broad implications for educational leaders, policymakers, educators and parents to develop policies for diverse students to enhance their educational achievements.
Originality/value
The researchers reviewed extensive literature and found the gap in regional studies particularly related to one of the fastest-growing, financially stable and highly educated ethnic groups in the country. The researchers developed a brand new instrument on Qualtrics and distributed a survey via online and direct administration to collect primary data from 200 participants.
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Xueqin Wang, Yiik Diew Wong, Wenming Shi and Kum Fai Yuen
Omni-channel shopping affords consumers a variety of delivery options to receive products based on their preferred times and locations. By considering consumers' contributions…
Abstract
Purpose
Omni-channel shopping affords consumers a variety of delivery options to receive products based on their preferred times and locations. By considering consumers' contributions (physical, social and attentive efforts) in co-creating delivery services, this study investigates their preferences for parcel delivery.
Design/methodology/approach
A scenario-based questionnaire survey is conducted for data collection in Singapore (n = 483). Furthermore, a multinomial logistic regression is performed to assess consumers' choice mode of delivery among five alternatives, that is attended home delivery, unattended home delivery, automated self-collection locker, attended pickup point and click-and-collect.
Findings
Compared to attended home delivery, consumers who choose the alternatives are found to be more willing to contribute physical effort but less interested in responding attentively to informational updates. Efforts required for social interactions discourage consumers from choosing attended deliveries, prompting unattended alternatives (e.g. home delivery and self-collection) as more attractive choices. Additionally, socio-demographic factors and product value also influence consumers' preferences.
Originality/value
This study contributes to the literature by integrating the theoretical concept of consumer logistics into omni-channel studies, providing a new approach to examining consumers' channel behaviour. With detailed profiling that links product value and consumers' socio-demographics to their choice mode of delivery, the authors create practical insight into the optimal design of omni-channel distribution systems that best harness consumers' voluntary contributions.
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