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With rapidly changing marketing landscape, nowadays, the formulation of various marketing strategies is increasingly focused on how consumers tend to make decisions. To meet the highly demanding consumer expectations, market segmentation can be used as an important marketing strategy. Due to gender marketing concept familiarity in the contemporary world, gender difference is one of the reference features in the process of market segmentation for marketers. This research is aimed to examine various determining factors that foster consumer purchase decision-making and the differences between consumers of different genders while making shopping and purchase decisions with special reference to an emerging economy, i.e. Pakistan.

Based on a cross-sectional sample of 367 consumers, the study adapted Sproles and Kendall's (1986) Consumer Style Inventory (CSI) to scrutinize the decision-making of both genders in Pakistan. For data analysis, the exploratory and confirmatory factor analysis in addition to the structural equation modeling has been used.

The study emphasized that, with the exception of quality awareness, brand consciousness, fashion consciousness, option overload and price consciousness greatly affect buying decisions. In addition, when it comes to consumer purchase decision-making, significant gender variations were discovered for both fashion consciousness and price consciousness.

Drawing upon the distinctive cultural characteristics of Pakistan and its people, in-depth research was conducted on purchasing behaviors of Pakistani consumers and the decision-making characteristics of customers of different genders were summarized. The outcomes are expected to make a significant contribution to the field of gender marketing by organizations.

This paper aims to investigate the interactive relationship between learning styles and cognitive biases as two essential factors affecting information processing in online purchases.

This research is applied in nature but extends the knowledge in the area of consumer behavior. By using the correlational research method, the present study uncovers the relationship between various sorts of decision biases and learning styles among online buyers.

According to the results, the most affected learning style among all is reflective observation. Several biases influence people with this learning style, namely, risky framing, attribute framing and aggregated/segregated framing. In the case of active experimentation, online customers can undo its effect. Therefore, online sellers should be aware of their target customers with such a learning style. In addition, online purchasers with the reflective observation learning style are more prone to aggregation and segregation of sales information.

The findings enhance the understanding of consumer buying behavior and the extent to which learning styles impact cognitive biases and framing effects in online shopping.

This study aims to investigate consumer decision-making styles (CDMS) in the context of street food. In addition to the original CDMS constructs, two additional constructs, namely food safety risks and environmental risks, were included based on relevant literature. Furthermore, the study explores the moderating role of social media celebrities (SMCs) in bridging the intention-behaviour gap in street food consumption behaviour.

The data were collected through an online survey, with 300 participants providing useable responses. Partial least squares (PLS) analysis was employed to analyse the data.

The findings indicate that out of the eight identified CDMS, six styles, specifically recreational (hedonistic shopping consciousness), price consciousness, novelty-seeking, impulsiveness, confusion due to over-choice and brand loyalty, significantly influence consumers' intention to consume street foods. Additionally, the results support the moderating role of SMCs. This suggests that the presence and influence of SMCs play a significant role in shaping consumers' intention and behaviours towards street food consumption.

This study contributes significantly to the literature by adding two additional constructs, namely safety risks and environmental risks in CDMS. Moreover, this study fulfils the intention-behaviour gap in street food literature by exploring the moderation effect of SMCs.

This paper aims to provide an elucidative and explanatory overview of decision-making theory that human resource management and development (HR) researchers and practitioners can use to explore the impact of heuristics and biases on organizational decisions, particularly within HR contexts.

This paper draws upon three theoretical resources anchored in decision-making research: the theory of bounded rationality, the heuristics and biases program, and cognitive-experiential self-theory (CEST). A selective narrative review approach was adopted to identify, translate, and contextualize research findings that provide immense applicability, connection, and significance to the field and study of HR.

The authors extract key insights from the theoretical resources surveyed and illustrate the linkages between HR and decision-making research, presenting a theoretical framework to guide future research endeavors.

Decades of decision-making research have been distilled into a digestible and accessible framework that offers both theoretical and practical implications.

Heuristics are mental shortcuts that facilitate quick decisions by simplifying complexity and reducing effort needed to solve problems. Heuristic strategies can yield favorable outcomes, especially amid time and information constraints. However, heuristics can also introduce systematic judgment errors known as biases. Biases are pervasive within organizational settings and can lead to disastrous decisions. This paper provides HR scholars and professionals with a balanced, nuanced, and integrative framework to better understand heuristics and biases and explore their organizational impact. To that end, a forward-looking and direction-setting research agenda is presented.

In today’s dynamic business environment, it’s crucial for companies to employ robust strategies and decision-making tools to remain competitive. This chapter explains the key comprehensive policies that can be applied by any company to maximise the effectiveness of the APPNIE framework. These policies include the following key elements for effective use of the APPNIE model: appointing an APPNIE manager responsible for maintaining and updating the model, collaborating with top executives, and formulating action plans; raising awareness of the APPNIE manager’s role across the organisation to encourage sharing valuable information (establishing clear procedures and channels for data collection); encouraging the communication of valuable data by offering recognition or rewards, ensuring a steady flow of filtered information; monitoring the eight quadrants using qualitative and quantitative data for up-to-date assessments of key APPNIE’s factors; organising regular meetings between APPNIE managers and directors from different functions to share perspectives, discuss action plans, and address challenges and opportunities. The chapter shows that by adopting these practices, companies can navigate ‘complexity’, make informed decisions, and enhance their overall success and competitiveness in the market.

This study aims to examine the interaction effects of chatbots’ language style and customers’ decision-making journey stage on customer’s service encounter satisfaction and the mediating role of customer perception of emotional support and informational support using the construal level theory and social support theory as conceptual frameworks.

This study used a scenario-based experiment with a 2 (chatbot’s language style: abstract language vs concrete language) × 2 (decision-making journey stage: informational stage vs transactional stage) between-subjects design.

Findings show that during the informational stage, chatbots that use abstract language style exert a strong influence on service encounter satisfaction through emotional support. During the transactional stage, chatbots that use concrete language style exert a strong impact on service encounter satisfaction through informational support.

Findings provide some suggestions for improving customer–chatbot interaction quality during online service encounters.

This study offers a novel perspective on customer interaction experience with chatbots by investigating the chatbot’s language styles at different decision-making journey stages.

The objective of the study was to explore the factors influencing the career decisions of students doing the students' undergraduate (UG) and postgraduate (PG) programmes from urban private universities/colleges in the Indian context.

Career decision-making is determined by different factors and is contextual. The present study explores and identifies the prominent factors influencing career decision-making. A pool of 33 questions was developed, and these questions were initially administered to a sample of 233 students. Principal component analysis with Varimax Rotation identified salient factors. In the second study, confirmatory analysis was performed based on the opinion of 304 students.

The study shows that the student's career deciding factors include (1) career clarity, (2) career exploration, (3) career reward and recognition and (4) career initiative for professional and personal growth.

The study focussed on career-deciding factors for UG and PG students from urban universities/colleges in the Indian context and the findings can be used for planning career counselling interventions.

Research has shown that business model innovation can facilitate most ventures to innovate and remain competitive, yet there has been limited work on how digital leadership capabilities influence business model innovation. Building on the dynamic capabilities view, we address this gap by linking digital leadership capabilities with business model innovation via managerial decision-making through provision of grants received by new ventures.

The study is cross-sectional research. Data have been collected utilizing purposive sampling from 313 founding members of new ventures in high-velocity markets, i.e. from Pakistan. SPSS has been used to conduct the moderated mediation analysis.

Digital leadership capabilities foster the business model innovation of the new ventures because they enable new ventures to capitalize on digital technologies and create new ways of generating value for the customers and themselves. Moreover, managerial decision-making mediates digital leadership capabilities and business model innovation relationship, whereas, grants moderate the indirect positive effect of digital leadership capabilities on business model innovation via managerial decision-making. The study generates initial evidence on the impact of digital leadership capabilities on business model innovation via managerial decision-making for new ventures. We advance knowledge on new ventures’ business model innovation by deep-diving into dynamic capabilities view and emphasizing digital leadership capabilities as a significant driver for business model innovation.

With the help of dynamic capabilities theory, this study analyzes how new ventures make use of digital leadership capabilities to promote business model innovation.

This study aims to explore the strategies corporations use in engaging stakeholders to sustain healthy corporate partnerships and create value for the corporate entity and the society in which they operate and their influence on the corporate manager’s cognitive abilities and decision-making.

The authors used an interpretive research approach leveraging the strengths of qualitative method of content analysis and comparative and critical analyses to report the results. Interpretive methods incorporate social theories and standpoints that view reality as the social construction of understandable events in the context of organizational communication.

The findings of this study suggest that corporations are assumed to follow and execute the principles of engaging stakeholders to achieve corporate social responsibility (CSR) claiming to manage a sustainable and responsible business practices that recognize local cultures, human rights and protect the environment. However, little attention has been paid to the cognitive reasoning of the individuals responsible for CSR and corporate sustainability (CS) as opposed to the growing concerns about strategies corporations use in engaging stakeholders to sustain healthy corporate partnerships and create value – especially the processes that take place during engagement and decision-making including cognitive offloading.

Stakeholder engagement requires practical approaches that enable corporations and individuals charged with decision-making responsibilities to understand, respond and fulfill their CSRs. To achieve CSRs, corporations and managers responsible for relevant decision-making would need to involve stakeholders in social performance planning, as social reporting/auditing has long been advocating for preventing managerial biasness, groupthink and increased information dissemination via detailed reporting practices toward more collaborative stakeholder relationships. Thus, it is crucial for corporations to implement enhanced stakeholder and managerial decision-making strategies such as integrative approaches to achieve balance in the trio elements of sustainability as well as the growing use of paradox perspective to understand the nature of the tensions being sought to balance and, in the process, provide opportunity for a better evaluation of complex sustainability issues for innovative approach to resolving them. While cognitive decision-making is at play, in practice, managers tasked with making decisions must ensure the most effective stakeholder engagement strategies that are transparent and inclusive are used.

The main contribution of this study is its argument regarding the tools corporations use in engaging key stakeholders and the cognitive reasoning of the individuals responsible for CSR and CS. The study further contributes to interpreting the integrative approach to achieving balance in the trio elements of sustainability as well as the growing use of paradox perspective to understand the nature of the tensions being sought to balance and, in the process, provide an opportunity for a better evaluation of complex sustainability issues for an innovative approach to resolving them.

This study aims to examine how the effect of gender on entrepreneurial growth aspirations is moderated differently by individual resources (human and financial capital) compared to those within the social environment (availability of entrepreneurial knowledge and role models).

A multilevel estimator is used to investigate the determinants of growth aspirations of owners-managers of nascent start-ups. The Global Entrepreneurship Monitor database is employed, covering the period 2007–2019, with 99,000 useable cases drawn from 95 countries.

The results suggest that individual financial resources and human capital have positive effects on entrepreneurial growth aspirations; yet these effects are weaker for female entrepreneurs relative to males. In contrast, the impact of the availability of entrepreneurial social knowledge and role models on their growth aspirations is more positive than for male entrepreneurs.

This study offers a novel insight into entrepreneurial growth ambition, as it utilises a global perspective to scrutinise whether individual and social resources contribute differently to male versus female growth-aspirations, employing a multilevel approach. It also integrates insights from the resource-based view and from the relevant business literature on entrepreneurs’ gender to develop theoretical explanations.