Search results

The importance of key account management (KAM) as a management technique in business-to-business markets has grown in recent years. The success of KAM programmes is highly dependent on the efforts of individual employees, specifically key account managers. Research on KAM at an individual level is important but lacking in the academic domain. This study aims to fill this gap by developing and evaluating a model of key account manager personality traits and how they impact the adoption of artificial intelligence (AI) technologies. The study also depicts the effect of the adoption of AI technologies on competitive advantage and firm performance.

The study examines how the adoption of AI technologies impacts firms’ competitive advantage and performance. The study used competitive advantage as a mediator and organisational culture as a moderator. A mixed-method analysis was used to conduct the study. In the first phase, an exploratory study was conducted using interviews with 26 key account managers from the automobile industry and thematic analysis to establish 9 constructs. In the second phase, which is a confirmatory study, 496 respondents finally responded to the questionnaire.

All constructs are used for confirmatory analysis and validate the data. Our research shows that key account managers’ adoption of AI technologies is influenced significantly by personality traits. Extraversion, agreeableness, conscientiousness, neuroticism and openness have substantial links to adopting AI technologies, which impacts firms’ competitive advantage and performance. Organisational culture significantly moderates the association between agreeableness and the adoption of AI technologies.

The findings of this research allow organisations to optimise team composition, customise training programs based on individual traits and incorporate personality assessments into recruitment processes for streamlined technology adoption and improved competitiveness. Overall, these actions aim to enhance AI integration, driving competitive advantage and client satisfaction.

This study stands out as one of the limited inquiries examining how the Big-five personality traits of key account managers influence the integration of AI technologies and its resulting impact on company performance. Therefore, this research makes notable contributions to the realms of organisational psychology and technology adoption studies.

Prolonged closure of educational institutions prompted authorities to adopt online teaching as an alternative method to impart education. The purpose of this study is to investigate the readiness on the part of teachers to switch/adopt online teaching as a part of their pedagogy. Also, this study analyses relationship between perceived stress (PS) and readiness to change (RTC)/adopt.

All the constructs were adapted from established scales, exploratory factor analysis confirmed item loadings on the appropriate constructs. Convenience sampling was used for data collection; owing to COVID-19 this appeared to be the only viable method. Partial least square structural equation modelling was used for analysis of data.

Results from this study indicate that 32.2% variance in RTC is accounted for by exogenous constructs perceived usefulness, perceived ease of use and autonomy (AUT). Although f2 effect size pointed towards non-significance of AUT in predicting RTC (path coefficients were found to be significant for all the exogenous constructs). Also, RTC accounted for 32.6% variance in PS. To assess the predictive relevance of the model, blindfolding procedure was used to obtain Q2 values (Q2PS = 0.231; Q2RTC = 0.243). Positive Q2 values provide support for the model’s predictive relevance.

Data were collected from teachers employed in urban public schools. A complete picture can be obtained by involving teachers from rural public and state-run schools.

Teachers’ readiness to adopt online teaching as a part of their pedagogy may act as a starting point for the policymakers to design properly structured training programs for teachers that minimise stress levels.

If not handled properly, the society may end with either loss of learning to one generation or a major chunk of stressed-out teaching populations or both.

To the best of the author’s knowledge, this study is probably the first one focusing on sudden shift to online teaching and PS.

This sudden disruption of work in the world due to the coronavirus disease 2019 (COVID-19) pandemic has led to unravelling situations hitherto unknown to researchers and therefore requires careful and thorough investigation. The aim of the study was to investigate the relationship between work from home (WFH) isolation, WFH loss of task identity and job insecurity amid COVID-19 pandemic WFH arrangements by focusing on information technology/information technology-enabled services (IT/ITES) sector employees in India. The study also investigated the mediating role of work alienation.

Data were collected from IT/ITES sector employees who were working from home. The sample size was 312, with 71.8% males and 28.2% females. The study used a descriptive research design. Analysis of the data was carried out using partial least square structural equation modeling. All constructs–independent and dependent–were reflectively measured. The evaluated quality parameters (discriminant validity, reliability, collinearity, common method bias) for all the constructs were found to be within acceptable limits.

Findings from the study indicate that WFH-related isolation and loss of task identity have a significant direct impact on job insecurity. These, along with the mediating construct of work alienation, predicted a 35.8% variance in job insecurity. The study found that work alienation provided complementary mediation between the independent constructs evaluated.

This study attempts to scrape the surface and gain insight into the problems that may arise in the new world of work. This paper presents an attempt to explain some of the psychological pitfalls associated with WFH during the COVID-19 pandemic and to understand their impact on job insecurity.

This study aims to develop a unified theoretical framework that presents a cohesive picture of workplace cyberbullying to better understand the interplay between cyberbullying, its effects on organizations and organizational controls enacted to contain these effects.

The study conducts a theoretical review of the workplace cyberbullying literature between 2005 and 2021 drawing upon existing literature and two important theories, the routine activities theory and control theory. The final sample of 54 empirical papers represents a comprehensive body of literature on cyberbullying published across various disciplines.

A theoretical model of workplace cyberbullying is developed, which highlights major antecedents to workplace cyberbullying and its impact on individual employees as well as organizations.

As firms increasingly rely on information and communication technologies (ICTs), the misuse of ICTs in the form of cyberbullying is also increasing. Workplace cyberbullying severely hurts an organization’s employees and compromises the efficacy of its information systems. Fortunately, various controls can be utilized by firms to minimize workplace cyberbullying and its attendant costs. In all, eleven propositions are offered, providing a robust agenda for future research. The authors also offer insights for practitioners on how to minimize cyberbullying in the workplace and its damaging effects.

The purpose of this paper is to map the variables that affect the customer-based brand equity (CBBE) of media channels (television news) in an emerging market context.

The study adopted structural equation modelling (SEM) to investigate the causal relationships between CBBE and the variables that affect brand equity for television news channels.

The analysis revealed that localization, ideology, credibility and entertainment are the variables that influence CBBE of television news channels (media brands). Subsequent analysis using SEM indicated that apart from the sole negative impact of entertainment, all the variables had positive impact on brand equity.

This study is confined to one of the metros of emerging market hence it cannot be generalized. Also the variables that indicate brand equity have been tested only for television news channels hence they may not hold true for other form of television stations.

For marketers of news channels this study identifies the factors that they need to focus on if they want to garner the equity of the brand in an emerging market scenario.

The content factors identified that influence television news brand equity are reflections of the social requirements of an emerging market. It indicates what the audiences in such markets expect from their television news channels and is part of the social discussion.

The study contributes to brand equity literature by finding the antecedents that can influence any media brand in the emerging market scenario.

This paper compares the impact of corporate governance determinants of asset quality between India’s public and private sector banks. The article identifies which corporate governance determinant is better utilized between the two sectors. The findings empower the banking regulatory authorities and individual bank administrators to handle asset quality in a better manner through a robust corporate governance framework. The study’s findings are also helpful for other nations to make informed judgments by countries with economic relations with India.

The article uses a dynamic panel data analysis method on novel data to achieve the purpose of this article. Using the General Method of Moments, the authors analyze 21 public and 24 private sector banks. The data used in this study span over a decade from 2010 to 2019.

According to the estimates, there is a significant difference in the impact made by corporate governance determinants on public sector banks vis-à-vis private sector banks. The results find that while board size has a greater impact on the asset quality of private banks, board independence has a lesser impact. Gender diversity contributes to more reduction of NPAs in private banks. The article also concludes that public banks perform better in the utilization of audit committee while private banks are better at using board meetings, CEO duality and ownership concentration.

Several papers have identified the determinants of asset quality in banks in various nations. However, to the authors' knowledge, none of the papers has identified the difference in the impact of corporate governance determinants between India’s public and private sector banks separately. This article is the first to do so.

With big data (BD), traditional supply chain is shifting to digital supply chain. This study aims to address the issues and challenges in the way toward the implementation of big data analytics (BDA) in sustainable supply chain management (SSCM).

The factors that affect the implementation of BDA in SSCM are identified through a widespread literature review. The PESTEL framework is used for this purpose as it covers all the political, economic, social, technological, environmental and legal factors. These factors are then finalized by means of experts' opinion and analyzed using structural equation modeling (SEM).

A total of 10 factors are finalized with 31 sub-factors, of which sustainable performance, competitive advantage, stakeholders' involvement and capabilities, lean and green practices and improvement in environmental performance are found to be the critical factors for the implementation of BDA in SSCM.

This research has taken up the case of Indian manufacturing industry. It can be diversified to other geographical areas and industry sectors. Further, the quantitative analysis may be undertaken with structured or semi-structured interviews for validation of the proposed model.

This research provides an insight to managers regarding the implementation of BDA in SSCM by identifying and examining the influencing factors. The results may be useful for managers for the implementation of BDA and budget allocation for BDA project.

The result includes green practices and environmental performance as critical factors for the implementation of BDA in SSCM. Thus the research establishes a positive relationship between BDA and sustainable manufacturing that ultimately benefits the environment and society.

This research addresses the challenges in the implementation of BDA in SSCM in Indian manufacturing sector, where such application is at its nascent stage. The use of PESTEL framework for identifying and categorizing the factors makes the study more worthwhile, as it covers full spectrum of the various factors that affect the strategic business decisions.

The present study was conducted to evaluate the effect of banana peel flour as fat replacer on rheological, physico-chemical, textural, mineral content and sensory properties of chicken patties.

Ultra low fat chicken patties were prepared with incorporation of banana peel flour at 0% (C), 1% (BP1), 2% (BP2) and 3% (BP3) levels separately to replace 50% externally added vegetable fat in formulation and evaluated for various quality characteristics and sensory attributes.

Highest G' and G''? modulus were observed in banana peel powder incorporated emulsion. No cross-point was observed at all ranges of frequency in meat emulsions prepared with banana peel. Among physico-chemical properties, control had significantly (p < 0.05) higher emulsion pH, emulsion stability, product pH, water activity values, fat and cholesterol content; however, cooking yield, moisture and ash content, fat retention and moisture retention values increased significantly (p < 0.05) in treatment patties. Mineral, textural and colour parameters had a significant (p < 0.05) effect except on manganese content and a* values. Various sensory scores decreased significantly (p < 0.05) with increased level of banana peel flour.

Sensory scores of 3% banana peel powder incorporated patties were significantly (p < 0.05) lower than other treatments. There was no significant difference between 1 and 2% banana peel incorporated chicken patties. Therefore, an ultra low fat chicken patties incorporated with 2.0% banana peel flour to replace 50% vegetable fat were selected as the best treatment.

Present global trend and life style are currently driving ready-to-eat healthy meat products and factors include extended working hours, increasing number of single-person households and perception of food as reward. Fat is an important component of meat products and imparts tenderness, improving flavor and mouth feel to processed meat products, like chicken patties. However intake of excess energy in form of saturated and unsaturated fat may lead to various life style diseases in consumers. Hence development of ultra low fat chicken patties with incorporation of fruit waste without adverse effect on sensory properties may be a significant challenge.