Search results

This paper aims to examine the joint effect of power and gender on individuals’ perceptions and evaluations of information systems (IS), and their behavioral intentions of technology acceptance.

This study uses a 2 (powerful vs powerless) × 2 (female vs male) between-subject experimental design. A total of 128 subjects participated in the experiment.

The results suggest that there is a significant gender difference in terms of technology acceptance in the high-power condition. Further, such a gender difference is attenuated in the low-power condition. Specifically, when primed with the feeling of powerful, male users (vs female users) have higher computer self-efficacy and rate the IS as easier to use and more enjoyable. However, when the feeling of powerless was elicited, the effect of gender on technology acceptance disappeared.

The gender effect on technology acceptance has been widely studied. The current research extends the literature by considering the moderating effect of power on such a gender effect.

This paper aims to examine the effect of privacy concern, irritation and personalization on Millennials’ perceptions of personalized smartphone advertising avoidance in a restaurant context. The hospitality industry has witnessed a huge surge in mobile activity over the past few years. Mobility opens up a new communication channel and allows industry to connect with their guests in a more personalized way. However, not all customers welcome the personalized advertisements.

Data were collected from 159 Millennials enrolled in a large state university in the Eastern USA using an online self-administered survey. These Millennials were asked to use a restaurant’s smartphone application for 30 days and then complete a survey based on their perceptions of personalized advertising. Descriptive analysis, reliability, factor analysis and regression analysis were used to evaluate the relationships among the four constructs: privacy concern, irritation, personalization and advertising avoidance, with the first three variables as predictors and advertising avoidance as an outcome.

The results suggest that advertising irritation is positively related to advertising avoidance, perceived personalization is related with less advertising avoidance, while privacy concern is not related to advertising avoidance.

Although advertising avoidance has previously been studied for the past few decades, little research has explored the underlying mechanisms of the Millennials’ avoidance of personalized smartphone advertising in a restaurant context. The current research suggests information pertinent to strategies for marketing personalized smartphone advertisement for restaurant companies.

This paper aims to explore the challenges in adopting and executing technology within the hospitality industry in India. The paper recognizes the upcoming trends and their impact on the expansion of the industry. Technology plays an integral role in strategic decision making, yet the service industry has only been able to utilize the technology superficially but has not been able to integrate its functions with other business operations. This paper seeks to explore the issues in taking on and implementing new technologies in the hotel organization globally and in India.

Personal interviews were conducted with general managers of global chains of hotel organizations in India to gain an insight into the challenges faced by the hotels globally and at the unit level in adopting and applying the technologies in their business operations. The research also provides information on future trends in technology that might lead towards the enhancement of the service delivery process.

This research helps in identifying the key internal and external challenges that the hospitality industry faces in adopting new innovative strategic IT solutions, hence leading to reluctance towards investment in IT. This research further amalgamates the key findings and presents a framework titled “Strategic importance of technology and challenges for hospitality industry”.

The paper recommends practical solutions for policy makers and practitioners that can be applied globally.

The research addresses the real life problems impacting the hospitality industry across the globe and has collected inputs from hotel experts or executives of international chains in India.

This study aims to examine the extant E-commerce performance literature to derive a coherent framework to further the understanding, identify research gaps and suggest potential future study directions.

Based on theoretical sampling (Corbin and Strauss, 2008), this study followed Greenhalgh et al. (2009) for the paper sample collection and used exploratory methods before the snowballing technique to identify key sources to uncover the E-commerce performance themes and prior findings systematically.

By reviewing and synthesizing 155 recent articles, this study proposed an integrated framework of E-commerce performance to organize the complex literature parsimoniously. This study found that E-commerce performance exhibits three key dimensions and is influenced by market E-commerce environment, organization E-commerce environment and the dynamic and interactive relationships in between.

The proposed framework offers industry practitioners opportunities to understand determinants and be updated with current practices of E-commerce performance. The findings of this study further point practitioners to directions that can lead to better E-commerce performance.

This study produced a cohesive framework of E-commerce performance based on an extensive review of the literature in both the mainstream and hospitality and tourism fields, addressing the issue of the currently fragmented understanding on E-commerce performance in hospitality and tourism.

The purpose of this paper is to develop a novel model for maintenance backlog (MB) of physical assets and structure it in a framework for integrated planning (IPL).

Reliability theory principles for modelling MB are used. Furthermore, to structure a framework for IPL, literature study combined with earlier case studies is used.

The framework for IPL facilitates the model of MB. In addition to providing real-time diagnosis indicators, MB is regarded as valuable information for decision support in IPL.

Development of MB applied to IPL.

This paper examines the empirical research on police reassurance following a collective trauma event (CTE).

Using a scoping review methodology, this paper sought to establish the extent, range and nature of published literature on policing responses to collective traumatic events, and to identify key features of this form of direct practice. Included papers needed to focus on police responses oeassurance with the public related to events (pre-or post) that could be regarded as collective trauma events by nature or scale. Searches were conducted using the Web of Science, SCOPUS and PsychINFO databases for literature published between January 2000 and December 2019.

Fourteen articles met the inclusion criteria. The key themes identified: (1) measuring the impact of reassurance and community policing; (2) community attitudes to policing and social disorder/critical events; (3) police workforce responses to traumatic events; and (4) interventions to support police to respond to their community.

Future research needs to examine the elements that create a robust organisational infrastructure that can withstand the demands of policing in ordinary and extraordinary times. Fundamental to the studies in this review is the relationship between the police agencies and the community. The nature of this relationship and how it can be strengthened to ameliorate the negative impact of CTEs in communities needs further exploration.

This paper provides important findings that can inform future reassurance policing practice and research.

The purpose of this paper is to review current literature analyzing human factors in maintenance, and areas in need of further research are suggested.

The review applies a novel framework for systematically categorizing human factors in maintenance into three major categories: human error/reliability calculation, workplace design/macro-ergonomics and human resource management. The framework further incorporates two well-known human factor frameworks, i.e., the Swiss Cheese model and the ergonomic domains framework.

Human factors in maintenance is a pressing problem. The framework yields important insights regarding the influence of human factors in maintenance decision making. By incorporating various approaches, a robust framework for analyzing human factors in maintenance is derived.

The framework assists decision makers and maintenance practitioners to evaluate the influence of human factors from different perspectives, e.g. human error, macro-ergonomics, work planning and human performance. Moreover, the review addresses an important subject in maintenance decision making more so in view of few human error reviews in maintenance literature.