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In the past, there have been few studies that shed light on the process of how to maintain the right value proposition with retailers. This research aims to examine the factors that play a significant role in the process of keeping the right value proposition with retailers in the B2C sector through a firm-retailer dependency lens.

Longitudinal data was gathered from 700 retailers who deal with the products of two of India’s firms in the B2C sector. Three data sets were created, and an econometric model was fitted to each data set separately.

The findings revealed that the firm-centric and retailer-centric variables had positive impacts, whereas competitor-centric variables negatively impacted the value proposition. Furthermore, the intensity of the impact on the value proposition of all types of drivers varied from “quiet-quitting retailers” to “active retailers.”

This study’s findings should assist managers in framing a value-sharing strategy to maintain a “win-win” relationship with retailers.

Using real-world data and a panel regression model, this research extends the theory on the relationship between value proposition and its drivers in the B2C sector and, hence, enriches the literature on the interface between business process management, retailing, and marketing.

This works provides a thorough understanding of the challenges and opportunities associated with Additive Manufacturing (AM) adoption in the medical sector. Through this analysis, we aim to better understand when to adopt AM, how to do so, and how such adoption might change in the future.

This research first conducted a systematic literature review (SLR) to identify AM challenges and opportunities in the medical sector, which were then validated through a Delphi study. The 18 Delphi study participants were also asked to suggest countermeasures for the challenges and help identify future AM adoption scenarios. Finally, these findings were analyzed according to the ecosystem pie model to design an ecosystem model for AM in the medical sector.

Among the 13 challenges and 13 opportunities identified, the lack of a skilled workforce and the responsiveness achievable via AM were by far the most relevant challenge and opportunity. Moreover, the participants identified countermeasures for 10 challenges, as well as three future AM adoption scenarios. Finally, leveraging these findings, an ecosystem model was developed.

This work contributes to the limited understanding of the AM challenges and opportunities in the medical sector. It helps medical practitioners to better understand the challenges and opportunities associated with AM and AM manufacturers to better identify where to focus their R&D efforts and how this would impact future AM adoption levels. Furthermore, this work extends current theory supporting the design of an ecosystem model for AM in the medical sector following the ecosystem pie model.

The purpose of this paper is to identify the potential and the challenges for different firms in adopting an AI-first strategy. The study attempts to discern if any company can prioritize AI at the forefront of their strategic plans.

Drawing from illustrative examples from well-known AI-leaders like Netflix and Spotify, as well as from upcoming AI startups and industry incumbents, the paper explores the strategic role of AI in core business processes and customer value creation. It also discusses the advent and implications of generative AI tools since late 2022 to firms’ business strategies.

The authors identify three types of AI-first strategies, depending on firms’ starting points: digital tycoon, niche carver and asset augmenter. The authors discuss how each strategy can aim to achieve data, algorithmic and execution advantages, and what the strategic bottlenecks and risks are within each strategy.

To the best of the authors’ knowledge, this paper is the first to systematically describe how companies can form “AI-first” strategies from different starting points. This study includes actionable examples from known industry players to more emerging startups and industrial incumbents.

This study aims to investigate the adoption of the United Nations’ Sustainable Development Goals (SDGs) as the new performance perspective in cities. It also aims to understand how accounting for SDGs begins in city administrations by following Power’s (2015) fourfold development schema composed of policy object formation, object elaboration, activity orchestration and practice stabilization.

Focusing on a network of cities coordinated by the Finnish local government association, we analyzed the six largest cities in Finland employing a holistic multiple case study strategy. Our data consisted of Voluntary Local Reviews (VLRs), city strategies, budget plans, financial statements, as well as results of participant observations and semi-structured interviews with key individuals involved in accounting for SDGs.

We unveiled the SDG framework as an interpretive scheme through which cities glocalized sustainable development as a novel, simultaneously global and local, performance object. Integration of the new accounts in city management is necessary for these accounts to take life in steering the actions. By creating meaningful alignment and the ability to impact managerial practices, SDGs and VLRs have the potential to influence local actions. Our results indicate further institutionalization progress of sustainability as a performance object through SDG-focused work.

While prior research has focused mainly on general factors influencing the integration of the sustainability agenda, this study provides a novel perspective by capturing the process and demonstrating empirically how new accounts on SDGs are introduced and deployed in the strategic planning and management of local governments.

A recent United Nations (2021) report stated that education needs to be concerned with enhancing human relationships with the natural world if we are to work toward building a sustainable future. This paper proposes that educational practices underpinned by an ecological orientation in mid-century Aotearoa offer insights for educators looking to enhance human connection with nature. It also argues that ecological thinking has implications for how research in the history of education might be carried out.

The article responds to recent calls in history of education for researchers to attend to the intertwined ecologies of living and material worlds in research approaches by Maria Tamboukou (2020) and Karin Priem (2022). It conducts a close analysis of a 1952 nature diary, encountered in the national archive, written by a 9-year-old pupil on the West Coast of the South Island. The analysis attends to the human–nature interactions the diary records, and to the resonance of the text in the context of post-war curriculum changes.

Post-war nature study in Aotearoa New Zealand built on an aim to nurture children’s connections with nature and to place. Analysis of an entry from the 1952 nature diary highlights these connections and demonstrates the possibilities for a reframing of human–nature relationships that emerge with an ecological orientation in education. These findings speak to urgent contemporary concerns with environmental sustainability and human–nature relationships.

The paper draws on educational philosophy and theory (Fesmire, 2012; Nicol, 2014) alongside recent conversations in the history of education (Priem, 2022; Grosvenor and Priem, 2022; Tamboukou, 2020) to consider human–nature relationality at the heart of ecological thought. It outlines an approach to archival research that is ecologically oriented, generating openness and receptivity to the material world.

This paper aims to focus on the relationship between female leadership and the environmental, social and governance (ESG) performance of firms. Specifically, the study examines if firms with women as chief executive officers (CEOs) and/or board chairpersons have higher environmental and social scores.

The study uses data on publicly listed Nordic firms in a panel regression approach to establish the relationship between female leadership and the environmental and social performance of firms.

The result of this study shows that women have a leadership characteristic that increases the weighted average of environmental (E) and social (S) performance of a firm. In particular, pillar score results indicate a positive relationship between female CEOs and the social scores of a firm but no relationship between a female board chairperson and the environmental or social scores of a firm. This implies that gender-based differences affect the CEO’s success, especially in a firm’s social performance. Further analyses show a more significant impact on the E and S performance when a woman replaces a man as CEO of a firm.

While prior research has explored various aspects of gender diversity in corporate leadership and its potential impact, the focus on the Nordic context in this study provides a unique perspective, given the region’s distinct business environment and societal factors. In addition, by examining the collective influence of female leaders and both female CEOs and board chairpersons separately, this study provides a nuanced understanding of how different leadership roles may impact a firm’s ESG performance.

Entrepreneurial ecosystems (EEs) contribute to organisational success through enabling actors to restructure businesses, stimulating exchanges of resources as well as applications and improvements to technological approaches. Hence, the purpose of this paper is to study the impact of EE micro-level variables on digital transformations.

Based on data spanning 5,000 Portuguese firms, the authors selected a random sample of 300, including businesses in the industrial, retail and service sectors. The authors deployed the multiple linear regression statistical method to validate the hypotheses.

As a result, the authors may conclude the organisation and the micro-level actors of EEs, owners and their members of staff produce influences on digital transformation processes.

This study contributes to completing the gap in the literature regarding the shortage of quantitative empirical studies approaching micro-level EE variables from the perspective of their relationships with digital transformation processes.

Earthquake stressful events cause many consequences and need for survivors. Housing reconstruction is one of the most urgent needs; due to traumatic experiences, dialectical changes in people–place relationships occur.

The present study uses the Poe method and Q methodology to identify the hidden dimensions of trauma-informed housing reconstruction. A questionnaire with 74 items on the Likert scale was developed based on indicative Poe. It was completed by the purposive sampling method by Bam households. The influential factors in housing reconstruction with a psychological recovery approach were extracted by q-factor analysis in communities with different traumatic experiences.

According to the findings, first, people who had experienced complete home destruction; severe physical injuries; loss of family members and relatives; and were trapped under the earthquake rubble have different place-based needs in housing reconstruction for coping with fears and environmental concerns, protective behaviors, safety perception and as result safety reassurance. Second, regardless of the traumatic experience and losses, reconstruction acceleration and economic-social dignity have a positive effect on the communities’ psychological recovery.

It is noteworthy that housing reconstruction with a psychological recovery approach has two basic aspects. Although some independent factors of traumatic experiences will be efficient in this approach, it was found that the type of earthquake traumatic experiences will also be effective in the survivors’ place-based needs and biases.

The data economy, emerging from the current hyper-technological landscape, is a global digital ecosystem where data is gathered, organized and exchanged to create economic value. This paper aims to shed light on the interplay of the different topics involved in the data economy, as found in the literature. The study research provides a comprehensive understanding of the opportunities, challenges and implications of the data economy for businesses, governments, individuals and society at large, while investigating its impact on business value creation, knowledge and digital business transformation.

The authors conducted a literature review that generated a conceptual map of the data economy by analyzing a corpus of research papers through a combination of machine learning algorithms, text mining techniques and a qualitative research approach.

The study findings revealed eight topics that collectively represent the essential features of data economy in the current literature, namely (1) Data Security, (2) Technology Enablers, (3) Business Implications, (4) Social Implications, (5) Political Framework, (6) Legal Enablers, (7) Privacy Concerns and (8) Data Marketplace. The study resulting model may help researchers and practitioners to develop the concept of data economy in a structured way and provide a subset of specific areas that require further research exploration.

Practically, this paper offers managers and marketers valuable insights to comprehend how to manage the opportunities deriving from a constantly changing competitive arena whose value is today also generated by the data economy.

Socially, the authors also reveal insights explaining how the data economy features may be exploited to build a better society.

This is the first paper exploring the data economy opportunity for business value creation from a critical perspective.

Higher education institutions (HEIs) play a pivotal role in fostering economic development by cultivating skilled workforce and generating knowledge and innovation. However, HEIs may pose a potential risk to sustainable economic development due to the generation of food waste inside their campus canteens. Therefore, this study aims to examine the influence of attitude, subjective norm (SN), perceived behavior control (PBC), religiosity and pro-social behavior among State Islamic Religious College (SIRC) students on their intention to avoid food waste behavior. This study also focused on the mediating role of the three original theory of planned behavior (TPB) variables and pro-social behavior in the relationship between religiosity and the intention to reduce food waste.

Questionnaires were used to collect data from 443 students at SIRC. The collected data were processed and analyzed using structural equation modelling to test direct, indirect and mediating effects.

The empirical results indicated that the eagerness of students at SIRC to reduce their behavior of leaving food behind can be driven by their negative attitudes or views toward food waste, the practice of religious teachings in their lives, the belief that they can avoid food waste and their concern for the environment. The empirical results reveal that even though religiosity influences SN, it is unable to strengthen the relationship between religiosity and the desire to be anti-food waste.

In addition to contributing to the food waste literature in the context of eating behavior, the results of this study have theoretical and practical implications.

To assess SIRC students’ behavioral intentions to avoid food waste behavior, this study used a contemporary setting to measure attitude, SN, PBC, religiosity and pro-social behavior, so strengthening the TPB’s empirical underpinning.