Search results

As a part of doctoral study, this study aims to analyze research on library management models (LMMs) by conducting a systematic literature review (SLR).

A Preferred Reporting Items for Systematic Review and Mata-Analysis approach was used to search four databases. The search criteria included studies published in English until 2022, resulting 9,125 records. Out of these records, a total of 36 studies were selected for final analysis

The results show a positive attitude among researchers toward the development of LMM for libraries globally. The results depict that more than one-third (39%) of the target population was comprised of academic staff and students. The majority (91.76%) of studies were conducted using survey. Quantitative methods were predominant (89%) for LMMs. There were a significant number of studies conducted in 2016. The country-wise distribution shows the USA and China each contribute (20%) of the studies.

The findings of this research could assist policymakers and authorities in reconciling the LMMs applied in libraries for providing efficient access to information resources and services to end users.

To the best of the authors’ knowledge, this study is unique as no comprehensive study has been conducted on LMMs using the SLR method.

Artificial neural networks (ANNs), which represent computational models simulating the biological neural systems, have become a dominant paradigm for solving complex analytical problems. ANN applications have been employed in various disciplines such as psychology, computer science, mathematics, engineering, medicine, manufacturing, and business studies. Academic research on ANNs is witnessing considerable publication activity, and there exists a need to track the intellectual structure of the existing research for a better comprehension of the domain. The current study uses a bibliometric approach to ANN business literature extracted from the Web of Science database. The study also performs a chronological review using science mapping and examines the evolution trajectory to determine research areas relevant to future research. The authors suggest that researchers focus on ANN deep learning models as the bibliometric results predict an expeditious growth of the research topic in the upcoming years. The findings reveal that business research on ANNs is flourishing and suggest further work on domains, such as back-propagation neural networks, support vector machines, and predictive modeling. By providing a systematic and dynamic understanding of ANN business research, the current study enhances the readers' understanding of existing reviews and complements the domain knowledge.

The main aim of this study is to explore the role of multi-dimensional human capital on the economic growth of the Indian economy.

The study used the methodology given by World Bank, 2018) in calculating the human capital index (HCI). The HCI has been constructed at a regional level for all 28 Indian states and 8 Union Territories (UTs) for the period of 2015–2016. The study explored the linkages between HCI and per capita gross state domestic product (PGSDP). The study further employed OLS (Ordinary Least Square) for overall significance and Spearmen’s Rank correlation coefficient test for establishing the linkage between HCI and PGSDP.

The results indicate that quality education, expected year of schooling, and infant mortality rate play a significant role in the improvement of HCI which further impacts the productivity rate of the upcoming generation and the inclusive growth of the country. The findings show that Mizoram, Chandigarh and Kerala are better performing states while the Bihar and Uttar Pradesh are the worst performers. The results also show that there is a positive and statistically significant correlation between PGSDP and HCI and its components. Further, the results show that public expenditure on health and education has significant effect on HCI.

The results of this study would be useful for policymakers to identify the determinants and improve the position of Indian states in HCI. The results show that policymakers should focus on quality education and health to improve the productivity of future generation workers for sustainable and inclusive growth.

The study is the pioneering study to analyze the state-wise HCI in India using methods mentioned by the World Bank. Unlike previous studies, variables such as expected year of schooling, under-5 mortality rates and survival rates are constructed more pragmatically.

This paper attempts to explore possible contributing factors of females' outperformance and males' underperformance in the higher education in Pakistan from teachers' perspective. The central question of the study is what are the key factors that affect female and male students' educational performance at the university level? Using Artificial Neural Network (ANN) as a framework, we attempted to predict differentials of the perceived “female outperformance” and “male underperformance” in higher education. We carried out the study by employing quantitative research methods.

The data for the study come from 253 teachers from University of the Punjab-largest and oldest University in Pakistan. We used a structured questionnaire for data collection. The analysis was carried out with the help of ANN model. Statistical Package for Social Sciences (SPSS) was used to analyze the data.

The testing results of ANN indicated 85.3% of teachers' perception was correctly predicted on various dimensions of performance differentials across female and male students in higher education.

The study banks on primary data collected from teachers of the University of University of the Punjab, Pakistan. Thus, the study's universe was limited to one university – University of Punjab. It is purely based on a quantitative approach employing ANN.

The findings of this study have several significant implications, i.e. it makes a significant contribution to the existing body of scholarly texts on the issue of gender reverse change in academic performance in higher education.

The findings of this research, derived from primary data in Pakistan context, qualify this research as an original one. We also claim that this study is one of the first studies on gender reverse change in academic performance among graduate students in a public sector university of Pakistan employing ANN.

This paper is an attempt to analyze the nature and extent of social exclusion across regions, ethnolinguistic groups and different professions in Pakistan.

By using household level data of Pakistan Social and Living Standard Measurement Survey, the authors have constructed Social Exclusion Index (SEI) as well as multidimensional deprivation scores across of the households. SEI has been developed by using multiple correspondence analysis (MCA) whereas multidimensional deprivation scores have been calculated by following the methodology proposed by Alkire and Foster 2011. In total nine household level indicators related with living standards, education and health have been used for this purpose. In next step the relationship of different household characteristics such as profession of household head region of residence and ethnolinguistic identity has been explored with SEI and multidimensional deprivation scores.

The empirical results of our analysis show that even after controlling for the income of household, SEI and multidimensional deprivation scores have been found to be significantly different across different professions, different regions and different linguistic groups.

This confirms the prevalence of social exclusion in Pakistani society. Compensatory government policies are suggested as an option to cope with the problem of social exclusion.

Target markets of new product brands (niche customers) differ from those of existing product brands (mainstream customers) using conventional new product brand development strategy. The purpose of this paper is to contend that acculturation in the form of cultural pluralism exists in the marketplace and substantiates that contention through an investigation of consumer behavior outcomes resulting from the development of new product brands that target both mainstream and niche consumers through product brand crossover, an alternative product brand development strategy that leverages on cultural pluralism.

A between-subjects experiment was conducted to test whether consumers differ in their behavioral intentions toward existing and new product brands developed through product brand crossover. The experiments include marketing situations of matching and mismatching product brands and marketing communications in the form of marketing messages and advertising images.

The results show that consumers – in general and in segmented groups – do not differ in behavioral intentions toward existing and new product brands as a result of product brand crossover. Matching and mismatching product brands and marketing communications in the form of marketing messages and advertising images do not produce significant effects on behavioral intentions.

This paper offers fresh evidence showing that acculturation in the form of cultural pluralism exists in the marketplace and introduces a new concept in the form of product brand crossover that acknowledges and leverages on cultural pluralism as an alternative approach for new product brand development.

The purpose of this paper is to investigate the relationship between uncertain political events and Pakistani Stock Markets from May 1999 to December 2011.

Using the mean-adjusted return model and event study methodology and by comparing the market efficiency between the two government style, i.e. autocratic and democratic, the authors determined that how uncertain political events are affecting Pakistani Stock Markets.

The empirical result shows that political events have an impact on the Karachi Stock Exchange (KSE) returns. Moreover, the paper derives from the results that the KSE is inefficient for a short span of time, after 15 days KSE absorbs the noisy information. The political situation in Pakistan was more stable in autocratic government structure than in democratic structure but it is difficult to state that the stock markets are more efficient in Autocracy because only few events took place during an autocratic regime and magnitude of events was not same in the autocratic and democratic government structure.

This study is unique in its nature as it examines the effect of multiple political events on stock market returns in Pakistan simultaneously and is expected to contribute significantly in the capital market literature of Pakistan in particular.

The purpose of this paper is to examine the notion of “service transgression” which violates customers’ religious beliefs through observing certain dietary guidelines that shape their religious identity. While service transgression and customer forgiveness are predominantly examined using experimental procedures or questionnaire survey in existing studies, this study adopts an interpretive paradigm to explore the complexities and idiosyncratic narratives of individual perceptions.

Detailed narrative accounts of 15 participants consisting of five Muslims, five Buddhists and five Hindus; who are working adults residing in Malaysia were gathered via in-depth interviews. Critical incident technique was employed with interpretive approach being undertaken to uncover key themes that form the essence of experiences in service transgressions.

The responses from participants were mainly contingent to the individuals’ interpretations of their religious expectations in the assessment of the incidents. Observations from the interview protocols reveal common themes in the consideration of whether one has indeed transgressed against the religious norms, the assignment of blame and responsibility and reparation of relationships. From the findings of this study, the authors developed a typology of conflict framing categories: “damaged identity”, “identity at risk” and “identity preservation” by considering both dyadic and triadic service relationships in service failure incidents which involve a violation of customers’ religious belief systems.

The outcome of this study seeks to inform service providers on the impact of service transgression of this nature upon consumers particularly in a multi-faith society. Additionally, this study provides insights into the implementation of service recovery strategies if and when such situation arises.

By undertaking a narrative enquiry, this study uncovers personal sense making in this phenomenon within the contextual frame of societal and historical norms. The outcome of this study provides insights to service providers on the impact of service transgression upon consumers particularly in a multi-faith context such as Malaysia. Additionally, this study discusses managerial implications associated with the implementation of service recovery strategies if and when such situation arises.

The current study aims to use bioecological theory to examine the effects of different contextual factors such as husbands’ desire for children, visit by a family planning worker, media messages, and province level on women’s use of contraception in Pakistan. Two cross-sectional data sets were taken from the Pakistan Demographic and Health Surveys (PDHS), conducted in 2006–07 and 2012–13, which included 3,811 and 4,871 currently married, lower socioeconomic status (SES) women aged 15–49 years, respectively. Using logistic regression, the results showed that women’s perception of a husband’s desire for children and visit by family planning workers were significant predictors of women’s use of contraception in both periods (i.e. PDHS 2006–07 and PDHS, 2012–13). Specifically, those women who had a desire for children similar to their husband were more likely to use contraception than those who either were not sure about their husband’s desire for children or whose desire for children was less or more than their husband. Moreover, those women who had at least one visit from a family planning worker during the 12 months prior to the survey were more likely to use contraception than their counterparts.