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This study aims to evaluate the role of personality in digital library systems (DLS) adoption intention among Generation Z (Gen-Z) students. The study uses the unified theory of acceptance and use of technology-2 and the five-factor model to investigate personality’s influence on Gen-Z’s DLS adoption intention.

The study is a descriptive causal investigation based on primary data collected through a self-administered survey using pre-validated tools. The study uses structural equation modeling to investigate personality dimensions’ direct and moderating effect on the dependent, independent variables and their relation.

The study results indicate that personality has no significant influence on Gen-Z’s DLS adoption, suggesting the ubiquity and inevitability of technology in current times. Also, only performance expectancy had a considerable impact on DLS adoption among Gen-Z going to college – a deviation from past studies where multiple independent variables have influenced DLS adoption when examined from different technology adoption model angles.

The current research is done on Gen-Z, and thus the results are ideographic to the cohort.

The results of the study can be used to effectively design and communicate technology-enabled information solutions among the Cohort.

The results of the study help better understand the factors affecting the technology adoption intentions of Gen-Z. Such understanding can help in better design and implementation of technology-enabled solutions for the cohort, maximizing such system adoption and its effective and efficient utilization.

The study explores the impact of personality on DLS adoption intentions, hitherto unexplored. The research also focuses on Gen-Z – a cohort born in a technology-enabled world whose attitude and preferences towards technology might differ. The study’s findings will help understand the influence of personality on DLS adoption among the Gen-Z and can be used to design, promote and evaluate such systems.

The purpose of this paper is to profile the experiences of the theme editor and the writing team of Worldwide Hospitality and Tourism Themes (WHATT) theme issue “What should Indian tourism and hospitality managers focus on to stay competitive in the coming decade?”

This paper uses structured questions to enable the theme editor to reflect on the rationale for the theme issue question, the starting point, the selection of the writing team and material and the editorial process.

This paper identifies key issues shaping the Indian tourism and hospitality industry and some of the implications for managers. It also identifies ways of improving competitiveness and some of the ways in which the Indian Government (at national and state levels) is investing in and facilitating community-focussed tourism development.

The theme issue outcomes provide lines of enquiry for others to explore and reinforce the value of WHATT’s approach to collaborative working and writing.

This paper draws on discussion and applied research with industry to identify and assess the likely impact of innovation, information technology, social media and related developments on tourism and hospitality industry development in India. The theme issue collection of this paper provides a rich picture of the occurring changes and prospects for the future.

The purpose of this research is to provide exploratory insights on measurement of efficiency of the hotel and restaurant companies operating in India.

This study will use a linear programming‐based approach, data envelopment analysis (DEA), to evaluate the efficiency of hotel and restaurant companies operating in India. DEA is a method of evaluating the relative efficiency of decision‐making units (DMUs). In this study the decision‐making units are the hotel and restaurant companies. The study further explores if there exists a relationship between the efficiency and size of the hotel and restaurant companies.

The DEA model used in this study assigns efficiency scores to each of the hotel and restaurant companies taken in the sample of 68 companies for the year 2004‐2005. The study also explores whether there is a relationship between the efficiency and size of the hotel and restaurant companies.

As this study evaluates the efficiency of the hotel and restaurant sector, it separates the most efficient hotel and restaurant companies from the non‐efficient ones. The study identifies the top performers in this sector. Also, managers get important insights for their strategic and operational decisions to improve performance.

There are very few known studies that have measured the efficiency of the hotel and restaurant companies. This study is one of the few exploratory initiatives in the Indian context.

Several inferential procedures are advocated in the literature. The most commonly used techniques are the frequentist and the Bayesian inferential procedures. Bayesian methods afford inferences based on small data sets and are especially useful in studies with limited data availability. Bayesian approaches also help incorporate prior knowledge, especially subjective knowledge, into predictions. Considering the increasing difficulty in data acquisition, the application of Bayesian techniques can be hugely beneficial to managers, especially in analysing limited data situations like a study of expert opinion. Another factor constraining the broader application of Bayesian statistics in business was computational power requirements and the availability of appropriate analytical tools. However, with the increase in computational power, connectivity and the development of appropriate software programmes, Bayesian applications have become more attractive. This chapter attempts to unravel the applications of the Bayesian inferential procedure in marketing management.

The purpose of this paper is to provide a practitioners' perspective on financial challenges prevalent in the Indian hospitality industry. The paper also makes an attempt to give useful insights into possible solutions to the issues raised.

The study assimilates data from senior finance professionals from a spectrum of hotels in India. The study involves the collection of primary data through structured interviews.

The study highlights that some of the financial challenges faced by the Indian hospitality industry include high financing costs, multiplicity of taxes charged, licensing and legal issues, working capital issues and eroding margins. The study also gives some useful insights to the possible solutions to the challenges identified.

This paper provides some very useful qualitative analysis of the contemporary challenges and their possible solutions prevalent in the Indian hospitality sector. The findings will be useful for hoteliers, policy makers and researchers to deliberate on the issues raised. However, it does not involve any quantitative analysis.

This study makes a sincere attempt to bring forth some real life issues, challenges and solutions which would be a good value addition to the existing literature.

The purpose of this paper is to shed light on the motivational process that leads to commitment development in the private and public sectors. It has been suggested that employee’s commitment is mainly predicted by job satisfaction and motivational factors such as internal communication, training, structural empowerment, incentive systems, transformational leadership and person–organization fit.

A comparative approach, between a set of private and public organizations, was undertaken. A survey was conducted on two random samples of workers belonging to both types of organizations.

The findings report a set of similarities and discrepancies between the private and the public organizations in terms of motivational factors that lead to job satisfaction and employees’ commitment.

This research brings additional value to the comparative literature on organizational analysis. It is one of the scarce comparative research in the North African context that deal with motivational factors at private and public workplaces.

The purpose of this study is to determine the level of job satisfaction, turnover intentions and performance of Nigerian polytechnic lecturers with PhDs and to empirically examine the relationship between them.

This study adopted a descriptive correlational research design. Thus, an online self-reported questionnaire was used to gather primary data from a purposively selected sample of 167 Nigerian polytechnic lecturers with PhDs. Descriptive statistics and PLS-SEM were employed to analyse the data collected.

Descriptive results showed a low level of job satisfaction, high level of turnover intention and moderate level of performance of Nigerian polytechnic lecturers with PhDs. The structural model indicated a significantly positive link between job satisfaction and performance of Nigerian polytechnic lecturers with PhDs. Additionally, further analysis showed significantly negative links between job satisfaction and turnover intentions and between turnover intentions and performance of Nigerian polytechnic lecturers with PhDs.

There is a paucity of empirical studies on the impact of turnover intention on employee performance, particularly in the Nigerian context. This study provides empirical evidence of the negative impact of turnover intention on lecturer performance in the Nigerian context. Importantly, the findings of this study provide insights into the fundamental issues, which underlie the brain drain of lecturers in higher education institutions, especially in developing countries.

Contemporary offshore information system development (ISD) outsourcing is becoming even more complex. Outsourcing partner has begun “re-outsourcing” components of their projects to other outsourcing companies to minimize cost and gain efficiencies. This paper aims to explore intra-organizational information asymmetry of re-outsourced offshore ISD outsourcing projects.

An online survey was conducted to get an overall view of information asymmetry between principal and agents (as per the agency theory).

Statistical analysis showed that there are significant differences between the principal and agent on clarity of requirements, common domain knowledge and communication effectiveness constructs, implying an unbalanced relationship between the parties. Moreover, the authors' results showed that these three are significant measurement constructs of information asymmetry.

In this study the authors have only considered three main factors as common domain knowledge, clarity of requirements and communication effectiveness as three measurement constructs of information asymmetry. Therefore, researches are encouraged to test the proposed constructs further to increase its precision.

The authors' analysis indicates significant differences in all three measurement constructs, implying the difficulties to ensure that the agent is performing according to the requirements of the principal. Using the agency theory as theoretical view, this study sheds light on the best contract governing methods which minimize information asymmetry between the multiple partners within ISD outsourcing organizations.

Currently, to the best of the authors' knowledge, no study has undertaken research on intra-organizational information asymmetry in re-outsourced offshore ISD outsourcing projects.

The purpose of this paper is to explore the effects of job satisfaction practices for public sector employees through a cross-national approach.

A multi-group analysis was carried out using SmartPLS3 among non-teaching employees of public universities in Poland and Spain.

The results show a positive relationship between motivational factors and job satisfaction; however, there is no evidence that the variable “country” introduced significant differences.

The research findings contribute to a better understanding of job satisfaction for public employees and provide empirical evidence on the relationship between job satisfaction and public culture.

Presents a linear time algorithm to find the maximum area triangle enclosed in a planar convex region. The algorithm is based on inspecting a selected set of chords in a decreasing sequence of slopes and the number of chords so inspected is proportional to total number of vertices resulting in a linear time algorithm. Addresses the problem because of its importance in robotics, computational geometry and other research areas.