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Understanding how firms manage multiple stakeholders is an academic and business call. This paper aims to describe a firm’s processes to implement a stakeholder value creation system, defined as the firm’s processes to create appropriate value with multiple stakeholders.

The authors based their investigation on a conceptual framework extracted from a previous literature review. From there, the authors conducted qualitative empirical research designed as a multiple-case study. In-depth interviews with 47 people from 11 different firms are the key source of this study.

This paper proposes a framework demonstrating how a firm can implement a stakeholder value creation system. Results pointed to three processes: value creation, distribution and capture. Value distribution mechanisms are drivers for both value creation and capture processes. The system is a set of multiple flow relationships between the firm and its stakeholders.

This research is limited to the Brazilian context.

The stakeholder value creation system is composed of seven elements: walk-the-talk organizational behavior, stakeholder business model, societal non-attended need, stakeholder preference matrix, stakeholder bargaining power, retention of rents and governance mechanism. Managers may design their firm’s unique processes using these elements as drivers.

The present investigation demonstrates that societal issues matter for firms to formulate strategies that positively impact their economic, social and environmental results.

The authors investigated competitive strategy concepts of value creation and appropriation from a combination of resource-based and stakeholder theories and a system perspective. The framework of this study consolidated both theories’ ideas from a complementary perspective. The authors suggest managers and academics should adopt the power of the “AND” position instead of the “OR” trade-off position.

This study aims to analyze the configuration of the board of directors of the five largest banks operating in Brazil, which are members of a financial elite that directly influences the socioeconomic life in Latin America.

This assessment is inspired by Bourdieu's sociological approach and in the discussion on his work in organization studies and economic sociology. It addresses the organization as a field and investigates its associated field of power. The authors conducted qualitative research and relationally analyzed data related to the trajectory and the social properties of the councilors using the statistical technique called multiple correspondence analysis (MCA).

The results show that forms of social and cultural capital are particularly influential in the production of distinctions among banks' board members. Moreover, councils' priorities and configurations are diverse: some idealized and based on knowledge, others pragmatic and based on customs, others still anchored in a double logic of market satisfaction and family wealth preservation.

Understanding the objective power relations among these top agents may be crucial for effectively regulating certain aspects of their activities. Furthermore, understanding how different forms of capital affect the relative position of the board members may help us reduce representative bias in what seems today an inner circle.

This study is relevant because it makes an in-depth analysis of the composition of one of the most influential financial elites in Latin America, combining sociological theory and advanced statistical techniques for qualitative grouping (MCA).

Maintaining the safety of the human is a major concern in factories where humans co-exist with robots and other physical tools. Typically, the area around the robots is monitored using lasers. However, lasers cannot distinguish between human and non-human objects in the robot’s path. Stopping or slowing down the robot when non-human objects approach is unproductive. This research contribution addresses that inefficiency by showing how computer-vision techniques can be used instead of lasers which improve up-time of the robot.

A computer-vision safety system is presented. Image segmentation, 3D point clouds, face recognition, hand gesture recognition, speed and trajectory tracking and a digital twin are used. Using speed and separation, the robot’s speed is controlled based on the nearest location of humans accurate to their body shape. The computer-vision safety system is compared to a traditional laser measure. The system is evaluated in a controlled test, and in the field.

Computer-vision and lasers are shown to be equivalent by a measure of relationship and measure of agreement. R² is given as 0.999983. The two methods are systematically producing similar results, as the bias is close to zero, at 0.060 mm. Using Bland–Altman analysis, 95% of the differences lie within the limits of maximum acceptable differences.

In this paper an original model for future computer-vision safety systems is described which is equivalent to existing laser systems, identifies and adapts to particular humans and reduces the need to slow and stop systems thereby improving efficiency. The implication is that computer-vision can be used to substitute lasers and permit adaptive robotic control in human–robot collaboration systems.

Technology and market pressures are encouraging localized and small-series production in customer-driven industries. The purpose of this paper is to explore and understand the supply chain-, product- and process-design factors for small-series production in EU’s textile and apparel industry, to understand configuration decisions, priorities and challenges.

An interview study was undertaken with ten companies that represent diverse small-series production models and value chain roles. Interview data was analysed to identify supply network configuration characteristics, decision priorities and challenges.

Three small-series production models emerged from the analysis, differing with respect to adoption of process postponement and customization. The findings confirm and extend past research regarding diverse decision priorities and product, process, supply chain structure/relationship configurations. Challenges identified relate to planning (priorities) and implementation (configuration). Whereas competence availability and digital technology challenges are common, several difficulties are linked to production model like tensions related to priorities and small volumes, which are not found with customization.

Future research can make comparisons with other industry and location contexts; adopt dynamic approaches to distinguish between design and reconfiguration processes; and address indicated paradoxical-tensions.

The study findings can provide guidance for companies regarding identification of priorities and management of (planning/implementation) challenges impacting small-series production in T&A.

The paper brings a configuration perspective at the supply chain level to the problem of small-series production implementation, which demands holistic and context-specific understanding.

Identifying the flow regime is a prerequisite for accurately modeling two-phase flow. This paper aims to introduce a comprehensive data-driven workflow for flow regime identification.

A numerical two-phase flow model was validated against experimental data and was used to generate dynamic pressure signals for three different flow regimes. First, four distinct methods were used for feature extraction: discrete wavelet transform (DWT), empirical mode decomposition, power spectral density and the time series analysis method. Kernel Fisher discriminant analysis (KFDA) was used to simultaneously perform dimensionality reduction and machine learning (ML) classification for each set of features. Finally, the Shapley additive explanations (SHAP) method was applied to make the workflow explainable.

The results highlighted that the DWT + KFDA method exhibited the highest testing and training accuracy at 95.2% and 88.8%, respectively. Results also include a virtual flow regime map to facilitate the visualization of features in two dimension. Finally, SHAP analysis showed that minimum and maximum values extracted at the fourth and second signal decomposition levels of DWT are the best flow-distinguishing features.

This workflow can be applied to opaque pipes fitted with pressure sensors to achieve flow assurance and automatic monitoring of two-phase flow occurring in many process industries.

This paper presents a novel flow regime identification method by fusing dynamic pressure measurements with ML techniques. The authors’ novel DWT + KFDA method demonstrates superior performance for flow regime identification with explainability.

It is becoming easier for end-users to modify their information system, sometimes against the wishes of management or the original manufacturer. In the mobile device context, “modding”, “jailbreaking” or “rooting” allows a mobile phone user to select operating software and network providers other than those mandated by the original provider. Prior studies have theorised that modders and non-modders possess different perspectives on the relationship between them and their device provider. However, these differences have not been empirically demonstrated in prior work. This paper aims to test theoretical pathways to explain the behavioural relationship effects of security within the modding context.

This study models four relationship conceptualisations from prior research. The study tests this model using a survey of 464 mobile device users to compare the user attitudes of modders and non-modders.

Modder and non-modder relationships differ. Both groups value security, but in different ways: modder relationships are governed by satisfaction and commitment, while non-modder relationships are governed more by trust.

To the best of the authors’ knowledge, this is the first study to empirically demonstrate the relationship differences between IS modifiers and non-modifiers. Most published work has focused on IS that are unmodified. Incorporating device modification may improve behavioural understanding of end-users.

The ongoing paradigm shift in the energy sector holds paramount implications for the realization of the sustainable development goals, encompassing critical domains such as resource optimization, environmental stewardship and workforce opportunities. Concurrently, this transformative trajectory within the power sector possesses a dual-edged nature; it may ameliorate certain challenges while accentuating others. In light of the burgeoning research stream on open innovation, this study aims to examine the intricate dynamics of knowledge-based industry-university-research networking, with an overarching objective to elucidate and calibrate the equilibrium of ambidextrous innovation within power systems.

The authors scrutinize the role of different innovation organizations in three innovation models: ambidextrous, exploitative and exploratory, and use a multiobjective decision analysis method-entropy weight TOPSIS. The research was conducted within the sphere of the power industry, and the authors mined data from the widely used PatSnap database.

Results show that the breadth of knowledge search and the strength of an organization’s direct relationships are crucial for ambidextrous innovation, with research institutions having the highest impact. In contrast, for exploitative innovation, depth of knowledge search, the number of R&D patents and the number of innovative products are paramount, with universities playing the most significant role. For exploratory innovation, the depth of knowledge search and the quality of two-mode network relations are vital, with research institutions yielding the best effect. Regional analysis reveals Beijing as the primary hub for ambidextrous and exploratory innovation organizations, while Jiangsu leads for exploitative innovation.

The study offers valuable implications to cope with the dynamic state of ambidextrous innovation performance of the entire power system. In light of the findings, the dynamic state of ambidextrous innovation performance within the power system can be adeptly managed. By emphasizing a balance between exploratory and exploitative strategies, stakeholders are better positioned to respond to evolving challenges and opportunities. Thus, the study offers pivotal guidance to ensure sustained adaptability and growth in the power sector’s innovation landscape.

The primary originality is to extend and refine the theoretical understanding of ambidextrous innovation within power systems. By integrating several theoretical frameworks, including social network theory, knowledge-based theory and resource-based theory, the authors enrich the theoretical landscape of power system ambidextrous innovation. Also, this inclusive examination of two-mode network structures, including the interplay between knowledge and cooperation networks, unveils the intricate interdependencies between these networks and the ambidextrous innovation of power systems. This approach significantly widens the theoretical parameters of innovation network research.

Considering corporate governance (CG hereinafter) practices' variety across Anglo-American and European countries, this study relies on contingency and complexity theories to investigate the effect of environmental sustainability performance (ESP hereinafter) on shareholder value under various configurations of board of directors (BoD hereinafter), firm and country characteristics.

The author used the Thomson Reuters Environment Pillar Score (ASSET4) and the Total Shareholder Return to assess ESP and shareholder value respectively. The author applied a fuzzy-set qualitative comparative analysis (fsQCA hereinafter) to an unbalanced panel of 2,284 observations from 486 European and Anglo-American non-financial listed firms over the period 2016–2020.

The author found a positive association between ESP and shareholder value and he displayed notable differences between Anglo-American and European economies regarding causal predictors of this positive association. Within European firms operating under civil law code where investor protection is low and family ownership is widespread, ESP creates shareholder value under configurations of causal predictors that significantly differ from those of their Anglo-American peers. The author's findings are robust to different identification strategies.

This study assists researchers, practitioners, shareholders and policymakers the significant roles that BoD diversity, organisational and institutional traits are jointly playing as determinants of the ESP-shareholder value relationship.

The author's study offers a more encompassing, complete and theoretically richer picture of the key drivers and outcomes of ESP.

This study aims to explore how sustainable business models (SBM) can be developed within agri-innovation systems (AIS) and emphasize an integration of the two with a systemic understanding for reducing food loss and value loss in postharvest agri-food supply chain.

This study conducted longitudinal qualitative research in a developing country with food loss challenges in the postharvest supply chain. This study collected data through multiple rounds of fieldwork, interviews and focus groups over four years. Thematic analysis and “sensemaking” were used for inductive data analysis to generate rich contextual knowledge by drawing upon the lived realities of the agri-food supply chain actors.

First, this study finds that the value losses are varied in the supply chain, encompassing production value, intrinsic value, extrinsic value, market value, institutional value and future food value. This happens through two cumulative effects including multiplier losses, where losses in one model cascade into others, amplifying their impact and stacking losses, where the absence of data stacks or infrastructure pools hampers the realisation of food value. Thereafter, this study proposes four strategies for moving from the loss-incurring current business model to a networked SBM for mitigating losses. This emphasises the need to redefine ownership as stewardship, enable formal and informal beneficiary identification, strengthen value addition and build capacities for empowering communities to benefit from networked SBM with AIS initiatives. Finally, this study puts forth ten propositions for future research in aligning AIS with networked SBM.

This study contributes to understanding the interplay between AIS and SBM; emphasising the integration of the two to effectively address food loss challenges in the early stages of agri-food supply chains. The identified strategies and research propositions provide implications for researchers and practitioners seeking to accelerate sustainable practices for reducing food loss and waste in agri-food supply chains.

Leveraging Emerson’s theory of power and motivated reasoning, this study aims to explore how the net power of an individual and actual, instead of perceived, vulnerability results in asymmetric trust and distrust development in a dyadic relationship.

Based on extant literature and gaps in the literature, this conceptual paper hypothesises and proposes trust formation based on power dynamics and vulnerability.

This research extends the knowledge base by exploring the role of actual vulnerability over perceived vulnerability in trust formation and distrust formation.

The research propositions imply that the dyadic trust formation process is not rational, and trust itself is not symmetrical but asymmetrical. The net power possessed by one individual over the other drives trust. Net power balance determines the actual vulnerability of the focal individual, and then the individual, through motivated reasoning, trusts or distrusts another individual. Scholars, going forward, could explore how trust formation varies at group and firm levels.

Extant literature has not explored the role of power imbalance in determining actual (versus perceived) vulnerability that influences trust formation between parties. The conceptual paper fills this gap.