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Conspicuous consumption and sustainable consumption are commonly understood as being in contradiction with each other. Yet, scholars have recently become increasingly interested in examining positive relationships between these forms of consumption. The purpose of this paper is to conceptualize the synergies and contradictions between sustainable and luxury consumption and proposing whether and how conspicuous motives can foster a shift towards sustainable consumption in newly industrialized countries in general and Egypt in particular.

This paper is a conceptual note, intended as a starting point and acting as an eye-opener regarding the values inherent in both conspicuous and sustainable consumption and the potential influence that conspicuous motivations could have on the latter.

The paper discusses the possibilities for and limitations of conspicuous motives to foster sustainable consumption in newly industrialized countries in the Middle East. The adoption of westernized lifestyles, spreading in Middle Eastern countries, can represent a venue for motivating sustainable consumption behaviours as a means of status distinction. On the other hand, the trickle-down effect and the preconditions of visibility and exclusiveness pose risks on promoting sustainable consumption by addressing conspicuous motives.

The paper suggests that the synergistic interplay between conspicuous and sustainable consumption, as well as barriers and motivations underpinning both constructs, needs to be empirically researched, while factoring in the cultural specifics of the countries under study, as cultural nuances can influence the dynamics of interaction between conspicuous and sustainable behaviours.

Given the salience of the relationship between luxury and sustainable consumption and the focus of most studies on early-industrialized countries, insights regarding the possible influences of conspicuous motives on sustainable consumption in newly industrialized countries are warranted. With the scarcity of research examining the ambiguous relationship between conspicuous and sustainable consumption in newly industrialized countries, this paper contributes by providing insights about the conditions that can help conspicuous motives promote sustainable consumption in newly industrialized countries.

Sustainable mobility and collaborative consumption are debated issues in the literature. In this field, car sharing (CS) represents a growing tendency that attracts interest by academicians for its potential positive impact on sustainability. This study aims to understand the main drivers of CS usage, unveiling the role of service quality and the possible inhibitors.

Based on theoretical assumptions in the literature, the authors developed a theoretical framework that aims at understanding the main antecedents of CS usage. An empirical investigation involving the city of Rome (Italy) was performed. The study presents a qualitative and quantitative survey, while the proposed theoretical model has been tested through structural equation modelling statistical techniques.

The findings show that usefulness positively affects the intention to use CS services. Moreover, the green attitude and expected service quality indirectly influence the intention to use CS services impacting perceived usefulness. The results show that the expected service quality has a strong influence on usefulness, whereas green attitude has a weaker influence on usefulness. The intention to use CS services is directly influenced by the usefulness and inhibitors that affect it negatively.

The originality of this paper lies in the fact that this study discloses the main antecedents of the intention to use CS services, emphasizing the role of service quality. This study provides fruitful insights to policy and decision-makers to understand how to improve the CS usage in the urban transport system of the city of Rome. It suggests developing a higher level of service quality in the vehicles, suitable technological applications and effective communication as well as on overcoming its main inhibitors.

While previous research has identified that environmental innovation is shaped by a variety of drivers, researchers have devoted limited attention to the role of nature-based resources in the country. Building on environmental innovation theory and the natural resource-based view of the firm, this study introduces ecological resource deficits as a novel driver of environmental innovation. The authors explore how ecological resource deficits interact with institutional and regulatory drivers as well as firm-level technology drivers to explain the extent of environmental innovation across different countries.

The authors apply fuzzy-set qualitative comparative analysis to a multi-source dataset to identify different pathways for environmental innovation across 28 countries.

Findings show that higher environmental innovation is a function of ecological resource deficits complemented by the presence of at least two other conditions. Moreover, the results show that environmental policy stringency and societal expectations are substitute conditions of environmental innovation.

This study reveals the interdependences between different conditions for environmental innovation across countries contributing to a more nuanced understanding of the geography of environmental innovation.

Sustainable development involves companies on an individual, organizational and social level requiring the adoption of business models or innovations capable of privileging the co-creation of mutual value with a view to sustainability. From an organizational perspective, this paper aims to show that knowledge brokers, by making explicit their roles as mediators of interactions and acting on dynamic capabilities (DCs), can generate a proactive approach to the three dimensions of sustainability and specifically allows capabilities to positively impact the propensity toward sustainable supply chain management (SSCM) practices.

This study offers an empirical analysis of 200 companies in the agro-food sector participating in a knowledge brokerage system activated by protection consortia. It uses a multiple regression technique that allows for observing relationships between DCs and SSCM.

Absorptive, adaptive and innovative capabilities, when understood and brokered, have a positive and direct impact on the SSCM.

As there have rarely been frameworks developed that correlate knowledge brokerage, DCs and sustainability, this paper suggests that DCs, when adequately valued by the knowledge broker, allow for identifying the requirements of the various stakeholders regarding sustainability and changes in market scenarios to generate sustainability practices along the supply chain.

Logistics real estate has been experiencing a recent rebirth led by the growth of retailing and e-commerce. Although these sectors are looking for facilities matching their logistics needs, the identification of the most suitable building becomes a challenging task. To date, from both the practitioner’s and academic perspectives there is a lack of models for assessing the quality of logistics facilities together with functionality (i.e. whether a warehouse is suitable for hosting a given logistics activity). The purpose of this paper is to fill this gap by developing a rating model for assessing the quality and functionality of logistics facilities.

A three-pronged methodology was adopted. First, a Systematic Literature Network Analysis (SLNA) was carried out to identify the relevant features that must be taken into consideration when assessing logistics real estate. Second, a Delphi method involving experts in the field was used to fine-tune the list of features that emerged from the SLNA process and to evaluate the importance of each feature from a company perspective. The rating model was developed and validated through pilot tests on 27 logistics facilities.

The rating model is divided into four sections: location, technical specifications, external spaces and internal areas. As an output, the model determines the building quality and main functionality, together with a gap analysis to detect the weakest emerging elements.

This research fills an identified research gap in the logistics real estate literature. Specifically, it offers a quantitative and shared evaluation method, which can be used to estimate building quality and functionality, thus extending the scope of the previous assessment methods available.

Industry 4.0 is a new trend among organizations. Some organizations have been early adopters or later adopters of Industry 4.0. The purpose of this paper is to investigate how performance effects vary between early and late adopters of Industry 4.0.

This study applies a qualitative research methodology using grounded theory. 14 senior management professionals who have implemented Industry 4.0 participated in this study through a theoretical and snowball sampling approach. These professionals were from manufacturing and service sectors, from North America, Europe and Asia. The study used semi structured open-ended interviews to capture the organizational performance on operational, financial, environmental and social dimensions.

The findings were analyzed in terms of four broad themes which emerged from the interviews. In operational performance the operational and implementation cost will be higher for early adopters. The late adopters may enjoy the advantage in terms of improved business models. In terms of financial performance, the early adopters may see a marginal increase in profit and increased stock price compared to late adopters. The performance on the environmental dimension will see early adopters enjoying material efficiency, energy savings and an improved image of the company compared to late adopters. In social performance, the early adopters will provide a better quality of work life, safer manufacturing environment. However, the resistance from labor unions will be higher for early adopters compared to late adopters.

Organizations must decide the timing of implementation of Industry 4.0. This study will act as a guide wherein they can decide to be an early adopter or late adopter based on knowledge of the resulting performance consequences.

This is the first paper that studies the performance effects of early versus late adopters of Industry 4.0.

Program evaluation stands as an evidence-based process that would allow institutions to document and improve the quality of graduate programs and determine how to respond to growing calls for aligning training models to economic realities. This paper aims to present the current state of evaluation in research-based doctoral programs in STEM fields.

To highlight the recent evaluative processes, the authors restricted the initial literature search to papers published in English between 2008 and 2019. As the authors were motivated by the shift at NIH, this review focuses on STEM programs, though papers on broader evaluation efforts were included as long as STEM-specific results could be identified. In total, 137 papers were included in the final review.

Only nine papers presented an evaluation of a full program. Instead, papers focused on evaluating individual components of a graduate program, testing small interventions or examining existing national data sets. The review did not find any documents that focused on the continual monitoring of training quality.

This review can serve as a resource, encourage transparency and provide motivation for faculty and administrators to gather and use assessment data to improve training models. By understanding how existing evaluations are conducted and implemented, administrators can apply evidence-based methodologies to ensure the highest quality training to best prepare students.

This study aims to provide insights into US and Australian analysts' views regarding the relative importance of disclosing the direct method (DM) or indirect method (IM) statement of cash flows and forecasting firm performance.

Evidence is collected from responses to 104 surveys and 52 interviews completed by US and Australian analysts from 2017 to 2022. The survey and interview questions are developed with reference to the literature.

US and Australian analysts believe that the DM format provides incremental benefits compared to the IM for (1) confirming the reliability of earnings; (2) improving earnings confidence; (3) more accurate ex ante forecasts of operating cash flow and earnings; and (4) identifying opportunistic accruals manipulation. Analysts view that DM disclosure can lower firm-level cost of equity, although US interviewees more uniformly expect lower costs of equity under DM disclosure when firms yield low earnings quality. DM disclosure is also more important during unstable economic periods, as proxied by COVID-19.

Limited research currently exists regarding disclosure of the DM or IM and its impact on analysts' forecasting accuracy, earnings quality, economic uncertainty and cost of equity. Previous research has relied on archival research to examine differences between the DM and IM methods and are limited by data availability. Our findings are particularly relevant to the US market with few US firms reporting the DM format.