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This study examines the impact of cultural dimensions on entrepreneurial intentions (EIs) and the mediating role of planned behavior (TPB) determinants between change tolerance (CT), group focus (GF), and EIs for both men and women in the context of international business schools.

Using a quantitative research design, data were collected in France through anonymous questionnaires. The data consisted of responses from 480 business students. Structural equation modeling (SEM) and the bootstrap method with PROCESS macro were used to determine the significance of the mediation effects.

Results reveal the strong impact of CT on the EIs of both men and women through TPB antecedents. They also indicate that GF has an indirect effect on EIs through TPB antecedents for men and an indirect multiple mediation effect on EIs through CT and TPB antecedents for both men and women.

The extended TPB model is original in that it supports both the determinants of planned behavior and cultural dimensions and provides a valuable perspective through its findings on cultural and gender diversity in entrepreneurship.

本研究擬探討文化維度對創業意向的影響；研究亦探討在國際商學院的背景下，對改變的容忍度，群體焦點及男性和女性的創業意向三者之間的計劃行為決定因素所起的調節作用。

透過量化研究設計，研究人員使用匿名問卷，在法國收集數據；數據包括480名商學院學生的囘應。研究使用結構方程模型及自助法，並附上總體過程，來判斷調節效應的重要性。

研究結果顯示、透過計劃行為的前身，對改變的容忍度會對不論男性或女性的創業意向均有重大的影響。研究結果亦顯示，群體焦點對男性而言，會透過計劃行為的前身，對創業意向會有間接的影響，而群體焦點對無論是男性抑或是女性，會透過對改變的容忍度及計劃行為的前身，對創業意向會產生多個間接的調節效應。

伸延的計劃行為模型是富有創意的，因其為計劃行為及文化維度提供支援論據，亦透過研究創業上的文化與性別的多樣性所得到的結果，提供了一個寳貴的觀點。

The first research objective is to understand the role of digital [artificial intelligence (AI)] technologies on user engagement and conversion that has resulted in high online activities and increased online sales in current times in India. In addition, combined with changes such as social distancing and lockdown due to the COVID-19 pandemic, digital disruption has largely impacted the old ways of communication both at the individual and organizational levels, ultimately resulting in prominent social change. While interacting in the virtual world, this change is more noticeable. Therefore, the second research objective is to examine if a satisfying experience during online shopping leads to repurchase intention.

Using primary data collected from consumers in a developing economy (India), we tested the theoretical model to further extend the theoretical debate in consumer research.

This study empirically tests and further establishes that deploying AI technologies have a positive relationship with user engagement and conversion. Further, conversion leads to satisfying user experience. Finally, the relationship between satisfying user experience and repurchase intention is also found to be significant.

The uniqueness of this study is that it tests few key relationships related to user engagement during this uncertain period (COVID-19 pandemic) and examines the underlying mechanism which leads to increase in online sales.

This study aims to identify the enablers of human resource (HR) digitalization and HR analytics. This paper also aims to build a relationship map using interpretive structural modeling.

A systematic literature review is used to identify the key enablers of HR digitalization and HR analytics. Ten expert opinions have been taken from the key officials of IT firms located in New Delhi North Central Region.

This study is focused on the enablers of HR analytics. It is found that change management (CM) in the organization is the key enabler of implementing HR digitalization and analytics in an organization. However, other elements like learning culture, training and development, E-learning management and HR transformation (HRT) play a vital role in implementing HR analytics. It is also found that implementing artificial intelligence for HR practices is the ultimate goal for every organization.

Management teams in IT firms should focus on the continuous learning process in the organization. The CM should be expedited for digitalization and adoption of HR analytics. Managers must go through the ramification of HRT, which possesses diligence in HR analytics and artificial intelligence.

This study explicitly talks about the enablers of HR digitalization and HR analytics. It also explores the relationship between the enablers. This study also describes the driving and dependence power of all the enablers.

The present study was conducted to find what practices Pune city's management institutes are following for managing their online databases. Essentially, the purpose of the research was to study librarians' awareness about the life cycle of electronic resources and how to manage their life span, so that the data in use do not go obsolete.

This experimentative study was based on a structured questionnaire designed to discover whether librarians of Pune's management institute followed the recommended six-step process in managing the life cycle of institutes' electronic resources as proposed by Jill Emery and Graham Stone in their Techniques in Electronic Resource Management (TERMS).

Our study revealed that the librarians are not following any fixed protocol and are managing electronic resources in an ad hoc manner as per their own discretion. A majority are not even aware of the six steps the TERMS model prescribed for managing electronic databases.

The limitation of the study is to find the current practices of management of electronic resources at management institutes / colleges affiliated to Savitiribai Phule Pune University. Institutes which are not subscribing any database other than databases provided by UGC-INFONET thus got excluded from the study.

A comprehensive literature review revealed that although such studies have been carried out elsewhere in the world, there is nothing specific to the Indian scenario. This study aims to plug that information gap.

After working through the case, the students should be able to understand Indian political economy and the brand building process of NaMo; identify the media mix strategies used to build the brand NaMo in India; evaluate possible future growth strategies for brand NaMo; and compare and contrast brand NaMo with business brands.

Narendra Modi popularly called as NaMo was the current Prime Minister of India. He belonged to Bhartiya Janata Party (BJP) which won India’s general elections in two consecutive terms 2014 and 2019. NaMo was recognised worldwide for his prudence in leading the country to greater heights of achievement. NaMo started his political journey as the worker of BJP at a tender age. His rise in political career was akin to flagship brand overtaking the parent brand. All the steps taken in the past to position himself as a cult brand, will it fortify to NaMo’s victory in 2024 general elections? Business firms may follow NaMo’s strategies. What can the business brands emulate from NaMo to market and position themselves? Can political success be transpired to business success?

This case is designed for use in a graduate-/postgraduate-level marketing course in segments on brand management, brand expansion and the marketing strategies of a market leader. The case can also be used in a brand management course to discuss brand management models (e.g. Keller’s brand resonance pyramid and brand value chain). This case has particular application for classes that focus on brand equity, STP for any brand (segmentation, targeting and positioning) and brand value chain. The case looks in detail at the Indian political market and brand building process of NaMo and examines competitive moves since its inception. This case can be used in brand management, media management courses. The dilemma can be explained as part of a marketing course for postgraduate and executive programmes.

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

CSS 8: Marketing.

The purpose of this paper is to study the effect of various stoichiometric ratios for synthesised epoxy phenolic novolac (EPN) resins on their physicochemical, thermomechanical and morphological properties.

In the present study, EPN (EPN-1, EPN-2, EPN-3, EPN-4 and EPN-5) resins were synthesised by varying five types of different stoichiometric ratios for phenol/formaldehyde along with the corresponding molar ratios for novolac/epichlorohydrin. Their different physicochemical properties of interest, thermomechanical properties as well as morphological properties were studied by means of cured samples with the variation of its stoichiometric ratios.

The average functionality and reactivity of EPN resin can be controlled by controlling epoxy equivalence as well as cross-linking density upon its curing as all of these factors are internally correlated with each other.

Epoxy resins are characterised by a three-membered ring known as the epoxy or oxirane group. The capability of the epoxy ring to react with a variety of substrates imparts versatility to the resin. However, these resins have a major drawback of low toughness, and they are also very brittle, which limits their application in products that require high impact and fracture strength.

Epoxy resins have been widely used as high-performance adhesives and matrix resins for composites because of their outstanding mechanical and thermal properties. Because of their highly cross-linked structure, the epoxy resin disables segmental movement, making them hard, and it is also notch sensitive, having very low fracture energy.

Epoxy resin is widely used in industry as protective coatings and for structural applications, such as laminates and composites, tooling, moulding, casting, bonding and adhesives.

Systematic study has been done for the first time, as no exact quantitative stoichiometric data for the synthesis of EPN resin were available on the changes of its different properties. Thus, an optimised stoichiometric composition for the synthesis of the EPN resin was found.

The paper aims to identify, analyse and develop a model for measuring the inter-relationship and interaction among the antecedents influencing innovation implementation. The extant literature has not widely studied the interactions and inter-relationships among the antecedents of innovation implementation. To fill this gap, the paper develops a hierarchical relationship framework between the identified antecedents of innovation implementation.

The study follows mixed method-based approach using two methodologies: modified total interpretive structural modelling (m-TISM) and MICMAC (Matriced’ Impacts Croisés Multiplication Appliquée á un Classement) analysis. m-TISM is used for the purpose of establishing the hierarchical relationship among the antecedents. MICMAC analysis is used to study the driver-dependent relationship. To identify the antecedents of innovation implementation, the paper follows a systematic search method found in the review articles. The article search was performed across different databases including Google Scholar, Web of Science, EBSCO and Scopus.

In this study, eight innovation implementation antecedents are identified. The analysis indicates that competency antecedents such as leader competency and employee competency, having high driving and weak dependence power, are at the lowest level in the hierarchical model, whereas, innovation implementation, having high dependence and low driving power, is at the highest level in the hierarchical model. Strategic resources act as a linkage variable.

Although this study summarizes the extant literature to generalize the findings, the future studies can focus upon statistical validation of model by employing structural equation modelling to generalize the results.

The practitioners must emphasize on antecedents having strong driving power for successful implementation of innovation. The hierarchical model is proposed for implementing innovation successfully that will help organizations to be more competitive, productive and profitable.

In this study, m-TISM and MICMAC-based hierarchical models are proposed for implementing innovation successfully in organizations. It also provides the variables insights such as driver-dependent interrelationship between the identified antecedents.

The goal of the current research is to use different machine learning (ML) approaches to examine and predict customer reviews of food delivery apps (FDAs).

Using Google Play Scraper, data from five food delivery service providers were collected from the Google Play store. Following cleaning the reviews, the filtered texts were classified as having negative, positive, or neutral sentiments, which were then scored using two unsupervised sentiment algorithms (AFINN and Valence Aware Dictionary for sentiment Reasoning (VADER)). Furthermore, the authors employed four ML approaches to categorize each review of FDAs into the respective sentiment class.

According to the study's findings, the majority of customer reviews of FDAs were positive. This research also revealed that, while all of the methods (decision tree, linear support vector machine, random forest classifier and logistic regression) can appropriately classify the reviews into a sentiment category, support vector machines (SVM) beats the others in terms of model accuracy. The authors' study also showed that logistic regression provided the highest recall, F1 score and lowest Root Mean Square Error (RMSE) among the four ML models.

The findings aid FDAs in determining customer review behavior. The study's findings could help food apps developers better understand how customers feel about the developers' products and services. The food apps developer can learn how to use ML techniques to better understand the users' behavior.

The current study uses ML methodologies to investigate and predict consumer attitude regarding FDAs.

This study aims to examine the impact of habitual Facebook use (HFU) on life satisfaction and psychological well-being. In addition, the study examined the impact of life satisfaction on psychological well-being. Moreover, the study investigates the impact of social safeness in moderating the relationship between HFU and life satisfaction.

The study employed a quantitative survey design, using a sample of 261 Generation Y students based in Mthatha, in the Eastern Cape Province of South Africa. Scales for data collection were operationalized from prior studies. The collected data were analyzed using structural equation modeling.

The study’s results disclosed that HFU positively and significantly impacts life satisfaction and psychological well-being. In addition, life satisfaction positively and significantly impacted psychological well-being. Moreover, the results showed that social safeness had a positive and significant moderating effect on the nexus between HFU and life satisfaction.

This study contributes to understanding HFU as a precursor to life satisfaction and psychological well-being among Generation Y students. Also, evaluating the moderating effect of social safeness contributes to a more thorough understanding of the link between HFU and life satisfaction. Furthermore, this research aims to add to the body of knowledge in Africa’s communication psychology and social media literature, a field that has received little academic attention in developing countries.

The purpose of this review was to examine Indian research on help-seeking for mental health problems in adults.

Original Indian research studies on help-seeking for mental health, published from the year 2001−2019 were searched on PubMed, EBSCO, ProQuest and OVID using a set of relevant keywords. After applying exclusion criteria, 52 relevant research studies were identified.

The reviewed studies spanned a variety of themes such as barriers and facilitators to help-seeking, sources of help-seeking, causal attributions as well as other correlates of help-seeking, process of help-seeking and interventions to increase help-seeking. The majority of these studies were carried out in general community samples or treatment-seeking samples. Very few studies incorporated non-treatment seeking distressed samples. There is a severe dearth of studies on interventions to improve help-seeking. Studies indicate multiple barriers to seeking professional help and highlight that mere knowledge about illness and availability of professional services may be insufficient to minimize delays in professional help-seeking.

Help-seeking in the Indian context is often a family-based decision-making process. Multi-pronged help-seeking interventions that include components aimed at reducing barriers experienced by non-treatment seeking distressed persons and empowering informal support providers with knowledge and skills for encouraging professional help-seeking in their significant others may be useful.