Search results

Drawing upon extended-self theory, this research aims to understand how different access modes of consumption and product type influence consumers' perceptions of self-product connection and sense of individual and collective ownership.

Two experiments assessed the impact of access modes (temporary vs permanent) and product types (tangible vs intangible) on individual and collective psychological ownership (IPO and CPO) as well as the mediating role of self-product connection in these relationships.

Temporary access reduces IPO compared to permanent access. Moreover, self-product connection mediates the relationship between access modes and both IPO and CPO. Product type significantly moderates the degree of psychological ownership, with intangible products having a notable influence on the impacts of access modes on IPO and CPO.

Understanding the nuances of access-based consumption and its effects on psychological ownership can inform marketers and businesses in designing more effective strategies for product offerings and access modes. Highlighting self-product connection can aid in cultivating stronger consumer relationships and loyalty in access-based consumption contexts.

This study contributes to the existing literature on consumer access-based consumption by shedding light on the changing dynamics of material possessions and the psychological mechanisms underlying ownership perceptions in access-based models.

This paper aims to overcome the inability of both comparing loss costs and accounting for production resource losses of Overall Equipment Effectiveness (OEE)-related approaches.

The authors conducted a literature review about the studies focusing on approaches combining OEE with monetary units and/or resource issues. The authors developed an approach based on Overall Equipment Cost Loss (OECL), introducing a component for the production resource consumption of a machine. A real case study about a smart multicenter three-spindle machine is used to test the applicability of the approach.

The paper proposes Resource Overall Equipment Cost Loss (ROECL), i.e. a new KPI expressed in monetary units that represents the total cost of losses (including production resource ones) caused by inefficiencies and deviations of the machine or equipment from its optimal operating status occurring over a specific time period. ROECL enables to quantify the variation of the product cost occurring when a machine or equipment changes its health status and to determine the actual product cost for a given production order. In the analysed case study, the most critical production orders showed an actual production cost about 60% higher than the minimal cost possible under the most efficient operating conditions.

The proposed approach may support both production and cost accounting managers during the identification of areas requiring attention and representing opportunities for improvement in terms of availability, performance, quality, and resource losses.

Gillette’s historically successful “razor and blade” business model (RBM) has been a promising benchmark for multiple businesses across diverse industries worldwide in the past several decades. The extant literature deals with very few nuances of this business model notwithstanding the fact that there are several variants of this business model being put to practical use by firms in diverse industries in grossly metaphorically equivalent situations.

This study adopts the 2 × 2 truth table framework from the domains of mathematical logic and combinatorics in fleshing out all possible (four logical possibilities) variants of the razor and blade business model for further analysis. This application presents four mutually exclusive yet collectively exhaustive possibilities on any chosen dimension. Two major dimensions (viz., provision of subsidy and intra- or extra-firm involvement in the making of razors or blades or both) form part of the discussion in this paper. In addition, this study synthesizes and streamlines entrepreneurial wisdom from multiple intra-industry and inter-industry benchmarks in terms of real-time firms explicitly or implicitly adopting several variants of the RBM that suit their unique context and idiosyncratic trajectory of evolution in situations that are grossly reflective of the metaphorically equivalent scenario of razor and recurrent blades. Inductive method of research is carried out with real-time cases from diverse industries with a pivotally common pattern of razor and blade model in some form or the other.

Several new variants of the razor and blade model (much beyond what the extant literature explicitly projects) have been discovered from the multiple metaphorically equivalent cases of RBM across industries. All of these expand the portfolio of options that relevant entrepreneurial firms can explore and exploit the best possible option chosen from them, given their unique context and idiosyncratic trajectory of growth.

This study has enriched the literature by presenting and analyzing a more inclusive or perhaps comprehensive palette of explicit choices in the form of several variants of the RBM for the relevant entrepreneurial firms to choose from. Future research can undertake the task of comparing these variants of RBM with those of upcoming servitization business models such as guaranteed availability, subscription and performance-based contracting and exploring the prospects of diverse combinations.

Smart entrepreneurial firms identify and adopt inspiring benchmarks (like razor and blade model whenever appropriate) duly tweaked and blended into a gestalt benchmark for optimal profits and attractive market shares. They target diverse market segments for tied-goods with different variants or combinations of the relevant benchmarks in the form of variegated customer value propositions (CVPs) that have unique and enticing appeal to the respective market segments.

Value-sensitive customers on the rise globally choose the option that best suits them from among multiple alternatives offered by competing firms in the market. As long as the ratio of utility to price of such an offer is among the highest, even a no-frills CVP may be most appealing to one market segment while a plush CVP may be tempting to yet another market segment simultaneously. While professional business firms embrace resource leverage practices consciously, amateur customers do so subconsciously. Each party subliminally desires to have the maximum bang-to-buck ratio as the optimal return on investment, given their priorities ceteris paribus.

Prior studies on the RBM have explicitly captured only a few variants of the razor and blade model. This study is perhaps the first of its kind that ferrets out many other variants (more than ten) of the razor and blade model with due simplification and exemplification, justification and demystification.

The Internet has changed consumer decision-making and influenced business behaviour. User-generated product information is abundant and readily available. This paper argues that user-generated content can be efficiently utilised for business intelligence using data science and develops an approach to demonstrate the methods and benefits of the different techniques.

Using Python Selenium, Beautiful Soup and various text mining approaches in R to access, retrieve and analyse user-generated content, we argue that (1) companies can extract information about the product attributes that matter most to consumers and (2) user-generated reviews enable the use of text mining results in combination with other demographic and statistical information (e.g. ratings) as an efficient input for competitive analysis.

The paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance.

The paper shows that combining different types of data (textual and numerical data) and applying and combining different methods can provide organisations with important business information and improve business performance.

The study makes several contributions to the marketing and management literature, mainly by illustrating the methodological advantages of text mining and accompanying statistical analysis, the different types of distilled information and their use in decision-making.

Artificial intelligence (AI) has become a pivotal technology in both marketing and daily life. Despite extensive research on the benefits of AI, its adverse effects on customers have received limited attention.

We employed meta-analysis to synthesise effect sizes from 45 studies encompassing 50 independent samples (N = 19,503) to illuminate the negative facets of AI's impact on customer responses.

Adverse effects of AI, including privacy concern, perceived risks, customer alienation, and uniqueness neglect, have a negative and significant effect on customers' cognitive (perceived benefit, trust), affective (attitude and satisfaction) and behavioural responses (purchase, loyalty, well-being). Additionally, moderators in AI (online versus offline), customer (age, male vs. female), product (hedonic vs. utilitarian, high vs. low involvement), and firm level (service vs. manufacturing) and national level (individualism, power distance, masculinity, uncertainty avoidance, long-term orientation) moderate these relationships.

Our findings inform marketing managers about the drawbacks of utilising AI as part of their value proposition and provide recommendations on how to minimise these effects in different contexts. Additionally, policymakers need to consider the dark side of AI, especially among the vulnerable groups.

This paper is among the first research studies that synthesise previous research on the dark side of AI, providing a comprehensive view of its diminishing impact on customer responses.

The adoption of energy-efficient systems is crucial for Pakistan to meet its growing energy demand and address its energy challenges. However, adoption of these systems in Pakistan is hindered by several barriers, including economic constraints, lack of awareness and social attitudes toward sustainable development. Therefore, the purpose of this study is to explore adoption of energy-efficient household systems and the associated social influence.

The study incorporates social influence as a mediating factor to examine the relationships between awareness of consequences, perceived consumer effectiveness and attitudes toward the adoption of energy-efficient systems. A quantitative survey method was used to collect data from households from Faisalabad, Pakistan. A total of 203 valid questionnaires were received and data analyzed through SmartPLS 4 for structural equation modeling.

The results revealed that awareness of consequences positively impacts compliance, social identification and internalization, while perceived consumer effectiveness has a positive relationship with social identification and internalization. Moreover, the positive association of social identification and internalization with attitude were supported but relationship of compliance with attitude was unsupported.

The results may also be used to develop compelling marketing campaigns focusing environmental conservation and social influence for positive attitude development.

The study contributes to theoretical literature by examining the empirical relationships between specific individual characteristics and societal pressure that play a critical role in shaping attitudes toward the acceptance of energy-efficient systems. Additionally, the study's findings offer actionable implications for policymakers and marketers, contributing to the development of targeted interventions for promoting sustainable consumption.

Product-as-a-Service (PaaS) has the potential to enable closed-loop supply chains (CLSC) and decrease environmental impact, but it is only applied on a small scale. The purpose of this paper is to explore and develop a framework of challenges and corresponding mitigations encountered by Business-to-Consumer (B2C) retailers when transitioning to PaaS.

Data collection drew on a qualitative interview study with two industry experts and four PaaS B2C retailers from different Dutch industries.

A framework was developed linking 26 challenges in eight clusters—financial, product-related, supply chain-related, consumer-related, human resources, research and development/technology, regulatory and industry-related—to 24 mitigations. The mitigations were elaborated, and theoretical insights for matching challenges with mitigations were provided.

This study expands PaaS literature to the generally under-researched retail context. It contributes to CLSC literature by applying it to a less-studied context, thereby revealing many supply chain-related challenges and mitigations encountered by B2C retailers.

The framework offers practical guidance to retail managers for overcoming or preventing challenges in PaaS, in their endeavours toward adopting environmentally sustainable practices.

The study creates awareness about environmental sustainability and the potential to reduce societal impact, in which a PaaS-enabled CLSC is one step.

Studying PaaS and CLSC in a retail context is timely and novel.

Education tends to colonize. Established authorities (teachers, curricula, and examinations) instruct newcomers, extending conditional membership. This presents a dilemma for teachers seeking to instill in their students habits of critical, creative, and lateral thinking. In Australia as elsewhere, blueprint educational documents embody lofty aspirational statements of inclusion and investment in people and their potential. Yoked to this is a regime routinely imposing high-stakes basic-skills testing on school students, with increasingly constrictive ways of doing, while privileging competition over collaboration. This chapter explores more informal, organic learning. This self-study narrative inquiry explores my career in terms of a struggle to be my most evolved, enlightened self, as opposed to a small-minded, small-hearted mini-me. To balance this, I examine responsible autonomy (including my own), rather than freedom. This chapter also explores investment in humans, with the reasonable expectation of a return on that investment. It draws and reflects upon events in or impacting my hometown, Sydney, Australia, focusing largely on WorldPride, the Women's World Cup, and a referendum on an Indigenous voice to parliament, all of which took place as I compiled this chapter. Accordingly, the narrative focuses primarily on sexuality, gender, and race. I explore the capacity of my surroundings to teach me and my capacity to learn from my surroundings. The findings and discussion comprise diary-type entries of significant events and their implications for (my) excessive entitlement. The final section of this chapter reviews what and how I have learned.

The context of a long-standing research tradition, discrimination has emerged as a critical factor contributing to inequalities within the labor market. While existing studies have primarily focused on overt discrimination during the recruitment and selection process, influenced by biases, attitudes, or stereotypes, there remains a significant knowledge gap regarding discrimination within the workplace and its underlying structural dimensions. This article aims to address this gap by examining the impact of organizational culture, structure and policies on workplace discrimination, with a particular emphasis on women and ethnic minorities.

Utilizing a case study strategy centered around a Belgian branch of a multinational professional service agency, data was gathered through ten semi-structured in-depth interviews conducted with employees representing various organizational levels.

The findings reveal that organizational culture, structure and policies may pose inherent risks in perpetuating discrimination throughout individuals' professional trajectories. Furthermore, it becomes apparent that, albeit often unconscious, these elements exhibit biases against women and ethnic minorities.

Given the unintentional nature of structural discrimination, it is crucial to foster increased awareness and understanding of these dynamics.

The originality of this research article lies in its focus on addressing a critical knowledge gap in the existing research tradition on discrimination in the labor market. While previous studies have primarily concentrated on overt discrimination during recruitment and selection, this article delves into the often overlooked area of discrimination within the workplace itself. It explores the intricate interplay of organizational culture, structure and policies in perpetuating discrimination, particularly against women and ethnic minorities. By utilizing a case study approach within a multinational professional service agency in Belgium, the research uncovers hidden biases and unconscious elements contributing to structural discrimination. This emphasis on understanding unintentional discrimination adds a novel dimension to the discourse on workplace inequalities.

Religion could drive development. Although Ghana is touted as the most religious country in the world, notably, some Charismatic/Pentecostal churches operate at the expense of community development and members’ welfare. This study sought to achieve three objectives: to determine whether there is an opportunity for organizing the various churches for interfaith cooperative collective action; to assess the association between people’s religiosity and the propensity to join interfaith cooperative collective action and to assess people’s perceptions of the institutional framework that could facilitate the organization of the religious community in Ghana for interfaith collective action.

Descriptive statistics and an ordered probit model (OPM) were used to analyze cross-sectional data from a representative sample of households in the Greater Accra Region. Thematic analysis was also used to analyze the qualitative data.

The study found that generally, there is a positive response to a proposal to mobilize churches in an interfaith cooperative collective action, but distrust poses a great threat to interfaith cooperative collective action. The study also found that affiliation with the Seventh-Day Adventist Church and Pentecostal/Charismatic is negatively (positively) associated with the propensity to join a collective action, respectively. Finally, the results of the study found that accountability, proper management and fair distribution of the proceeds from a collective action will help in mobilizing churches in Ghana in an interfaith collective action.

This is the first major study to explore the possibility of interfaith collective action among religious denominations aimed at accelerating poverty reduction and wealth creation in any developing country.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2023-0670