LM Thapar School of Management

The present study sought to investigate the role of mentoring relationships in predicting career resilience. The study adopted a cross-sectional survey based research design using a sample of 205 managers from public and private sector organizations in North India. Mentoring relationships were measured under the 2 broad categories of career mentoring and psychosocial mentoring in alignment with previous studies. The findings showed that psychosocial mentoring acts as a significant predictor of career resilience; however, career mentoring was not found to have any significant influence on career resilience. Given research thus reiterated the significant contribution of mentoring in influencing career outcomes such as career resilience. Theoretical and future implications of research were also discussed.

Employability as a concept demonstrates true potential of students to undertake future employment. Simultaneously employability represents significant linkage between industry and academia. This paper attempts to measure the orientation of graduate students towards employability and the labor market. Sample of the study included 124 MBA students of three higher education universities located in the region of Punjab and data collection was done through the administration of questionnaires among them. Analysis was done using the statistical technique of factor analysis with the help of SPSS version-17. Study findings identified four main factors that affect the graduate students' orientation to labor market as goal-setting and accomplishment, performance consciousness, institute image and association, job scenario and skills in demand. The paper thus puts special emphasis on the higher education institutes and universities in context to prepare their students for future job prospects. Besides this, the research also discusses the implications of the same for the higher education sector and the industry.

This study empirically investigates the mediating role of psychosocial mentoring support on emotional stability personality disposition and career resilience relationship. In addition, this research also focuses on estimating the interrelationship between emotional stability, psychosocial mentoring support and career resilience. The results show substantive direct relations between emotional stability and psychosocial mentoring as well as between emotional stability and career resilience. Psychosocial mentoring is also seen as a significant predictor of career resilience. Further, it mediates partially the relationship between emotional stability personality and career resilience. Future and practical implications of research have also been provided.

True success of any organization largely depends upon the human resource which is the most potential asset of any organization. Organizations are putting efforts to attract and enhance the level of engagement among their employees. More dedicated the employees are at workplace, more strongly they will be able to contribute towards their organization effectively, thereby leading to high engagement. Recent research has illustrated personality as the suggestive cause of engagement (Simmons, 2010). The paper attempts to explore about personality as predictor of dedication which is one of the significant component of work engagement. To attain the objective, the study made use of two standardized questionnaires. Measurement of personality was done using the Sixteen Personality Factor Questionnaire which was devised by Cattell in 1949 and the measurement of dedication was done using the Utrecht Work Engagement Scale (Schaufeli & Bakker, 2003). Analysis and interpretations of the study have been obtained using statistical technique of Multiple Stepwise Regression. For running Multiple Stepwise Regression Analysis the study included dedication as the single dependent variable and five second order personality factors namely extraversion, anxiety, tough poise, independence and superego/ control as the independent variables. The study results depicted that model consisting of superego/ control, independence and tough poise provides the best combination of personality factors as predictor of dedication among the IT sector employees. The paper not only adds to the existing body of research in the area of engagement and personality but also puts an emphasis on the creation of model consisting of personality and dedication which can be utilized by the organizations to well tune and make their hiring and selection process more effective.

Purpose: In recent years, employee engagement has emerged as the topmost challenge for majority of the organizations. It has become very much vital for organizations to retain, develop and engage their talent to the best possible extent. Past research studies have shown that personality influences engagement of employees at the workplace. This paper primarily focuses on determination of relationship between personality factors and employee engagement among the IT sector employees. Methodology: The study utilized two standardized questionnaires namely The Utrecht Work Engagement Scale for the measurement of engagement and The Sixteen Personality Factor Questionnaire for the measurement of personality. Statistical tool of Pearson correlation analysis was used to determine the strength and direction of relationship between personality factors and employee engagement. Findings: The findings of the study indicated that out of five second order factors as measured using the Sixteen Personality Factor Questionnaire, anxiety and superego control have positive relationship with employee engagement while tough poise and independence have negative relationship with employee engagement and extraversion showed no significant relationship with employee engagement.

Abstract Employability as a concept demonstrates true potential of students to undertake future employment. Simultaneously employability represents significant linkage between industry and academia. This paper attempts to measure the orientation of graduate students towards employability and the labor market. Sample of the study included 124 MBA students of three higher education universities located in the region of Punjab and data collection was done through the administration of questionnaires among them. Analysis was done using the statistical technique of factor analysis with the help of SPSS version-17. Study findings identified four main factors that affect the graduate students’ orientation to labor market as goal-setting and accomplishment, performance consciousness, institute image and association, job scenario and skills in demand. The paper thus puts special emphasis on the higher education institutes and universities in context to prepare their students for future job p...

In this study, we examined potential two-way interaction effects of the Big Five personality traits extraversion and openness to experience on career commitment measured in terms of three components of career identity, career resilience , and career planning. Participants included 450 managers from public and private sector organizations in North India. The results indicated significant positive impacts of extraversion and openness interactions on the career resilience dimension of career commitment. Implications for practice and future research directions are also discussed.

In the last few decades, considerable research has focused on the effects of trait interactions on job performance, but only a few studies have examined trait interaction effects on career commitment. This study investigates the interactive effects of conscientiousness and agreeableness on career commitment and its 3 facets of career identity, career resilience, and career planning in a sample of 254 employees in North India. Results suggest a partial interaction effect of conscientiousness and agreeableness on career commitment. Trait interactions were seen as significant predictors of career resilience in the Indian context. The authors discuss implications for research, theory, and practice.

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Purpose – The purpose of this paper is to investigate the role of personality factors in influencing mentoring relationships in the South-Asian context. Design/methodology/approach – The sample included 363 subjects from public and private sector organizations in North India. Findings – Results revealed that in the Indian context, conscientiousness acts as significant predictor of perceived psychosocial mentoring, agreeableness acts as significant predictor of perceived career mentoring support, and emotional stability acts as significant predictor of both categories of mentoring relationships. Further, managers employed in public sector organizations were found to be high on all the Big Five personality factors and mentoring functions in contrast to managers from private sector organizations. Research limitations/implications – Overall, the results suggest that mentoring relationships should operate in organizations with a firm understanding of employees' personality traits. Implications and future research directions were also discussed. Further, suggestions have also been given for incorporating various interventions in order to handle employees with different personality attributes such as counseling for helping emotionally unstable employees manage their emotions and stress. Originality/value – To the knowledge, this is the first study that seeks to examine impact of personality factors on mentoring relationships in the South-Asian context.

Purpose The theory of consumption values (TCV) has successfully explained much consumer choice behavior, but few studies have investigated the values that drive food-delivery application (FDA) use. This study aims to bridge this gap by extending the TCV to the FDA context to examine food consumption-related values and interpreting and rechristening generic consumption values to adapt the TCV to the FDA context. Design/methodology/approach An explorative mixed-method research approach was taken to conduct focus group discussions with 20 target users to develop the questionnaire and then administer it for a cross-sectional survey (pen and pencil) to FDA users aged 22–65 years; 423 complete responses so received were analyzed using structural equation modeling. Findings The findings show that epistemic value (“visibility”) is the chief driver of purchase intentions toward FDAs, followed by conditional (“affordances”), price (part of functional value) and social value (“prestige”). Food...

The perceived Quality of Work Life (QWL) is a multi-dimensional construct that significantly influences the various facets of personal interface and professional outcomes of the employees working in an organization. The present empirical study conducted amongst the managers of the private, public sector and foreign banks operating in India performs an in-depth examination of the role of different constituent dimensions of QWL in determining the overall and dimension-wise QWL perceived by the respondents. ANOVA analysis is performed to determine the significance of difference in responses among the managers of private, public sector and foreign banks on the basis of their overall WL and its different constituents. Significant differences were observed amongst the responses of the respondents from the private, public sector and foreign banks; highlighting the differential impact of these constituent dimensions in different organizations in the same industry.

Electronic Health Records (EHR) has been the subject of much academic discussion in recent times. The impact that a successful implementation of EHR can have on a hospital cannot be overstated. Factors which are crucial to successful implementation of an EHR system are commonly known as Critical Success Factors (hereinafter referred to as CSFs). Purpose: The present study investigates the role of CSFs in implementation process of EHR systems in north Indian multispecialty hospitals. Design: The questionnaire has been distributed to 12 hospitals which have been using EHR technology. Findings: It has been concluded that three out of the five CSFs included in the study, play a more important role than the other two factors. Research limitations: The factors have not been considered separately based upon pre-implementation scenario and post-implementation phase. Originality: The study attempts to outline the impact of EHR systems on successful operational performance of hospitals.

The concept of an electronic health record (EHR) has been the solicitous subject of researchers’ discussion in recent times. The impact that a successful implementation of EHRs can have on physicians cannot be overstated. Factors which are critical to successful implementation of EHR systems are commonly known as crucial technology implementation factors (CTIFs). The present study investigates the CTIFs of EHR systems and also their impact on physicians’ job satisfaction and characteristics in North Indian multispecialty hospitals. The questionnaire has been distributed to physicians of 12 hospitals that have been using EHR technology. It has been concluded that five CTIFs—organizational support, training, software attributes, acceptance to change, and computer knowledge—play a more important role than that played by other factors. The factors have not been considered separately on the basis of preimplementation scenario and postimplementation phase. The study attempts to analyze th...

This study examines the factors affecting hospital choice decisions by patients for tertiary level healthcare services and the relationships of these factors with respondent demographics. It also categorises the decision makers involved in the selection of hospitals. Data were collected from in-patients of multispecialty hospitals located in northern India with the help of a structured questionnaire. Factor analysis, ANOVA and t-test techniques have been employed to analyse the data. The study has revealed that the factors that affect hospital choice decisions of patients are basic amenities, reputation and quality, building and infrastructure, ease and affordability, personal substances (experiences), responsiveness of services, recommendations and suggestions, clinical support, privacy and information sharing, and range of services. The study has also revealed that various categories of respondent demographics, namely, age, gender, residence, education and monthly family income ar...

This study examines the factors affecting patient satisfaction and their relationships with respondent demographics for tertiary-level healthcare services. Data were collected from in-patients of multispecialty hospitals located in northern India with the help of a structured questionnaire. Factor analysis, analysis of variance (ANOVA) and t-test techniques have been employed to analyse the data. The study has revealed that factors which affect patient satisfaction are affordability and convenience, fulfilment of clinical requirements, nursing and staff care, general
behaviour of doctors, registration and administrative procedures, infrastructure and amenities, professional behaviour of doctors and facilities at the reception and outpatient department area. It has also been found that health insurance and various categories of respondent demographics, namely gender, residence, education and occupation, are significantly different statistically (P, .05) with respect to the
identified factors.
Keywords: health care; India; multispecialty hospitals; patient satisfaction; service quality; total quality management

This study examines the factors affecting patients' hospital choice decisions for tertiary-level healthcare services and the relationships of these factors with respondent demographics. It also categorizes the decision-makers involved in the selection of hospitals. Data were collected from in-patients of multispecialty hospitals located in northern India with the help of a structured questionnaire. Factor analysis, ANOVA, and t-test techniques analyzed the data. The study has revealed that factors that affect hospital choice decisions of patients are basic amenities, fame and quality, building and infrastructure, ease and affordability, personal substances (experiences), the responsiveness of services, recommendations, and suggestions, clinical support, privacy, and information sharing, and range of services. The study has also revealed that various categories of respondent demographics, namely, age, gender, residence, education, and monthly family income, are significantly different statistically (P<.05) with respect to the identified factors. It has been found that most of the time, family members, doctors, or a combination of family members and doctors decide to choose the hospitals. It has also been found that some friends/relatives and patients choose the hospitals.