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In innovation networks, SMEs' capability to innovate is both enhanced and restricted by more powerful or better positioned partners. The purpose of this article is to ask how managers of processing SME suppliers in Italian and Swiss food innovation networks experience their relationships with innovation network partners and how they configure modes of interaction with them.

A series of problem centered interviews with managers of six Swiss and five Italian food sector SMEs was conducted.

Findings describe how SME managers in the two regions perceive the nature of interaction as well as benefits and disadvantages resulting from asymmetric relationships within networked innovation process. Differences in the perception frame and their impact on behavior in innovation networks are analyzed.

The data are only valid for the food sector in the two regional markets. Furthermore, this paper only displays the perspective of managers of first and second processing food SME suppliers. Additional data should be gathered on the perspective of other network partners as well as on real‐time communication between them.

The findings suggest that active cooperation with especially customers in innovation networks supports innovation opportunities of processing food SME suppliers.

Scholars so far have comprehensively deduced potential advantages and problems resulting from asymmetries in power and positioning of partners for knowledge sharing in innovation networks but have not yet investigated its specifics. Particularly, empirical work on the perspective of managers from processing SME suppliers on innovation related cooperation with their partners in the value chain on networked innovation is yet almost scant.

The purpose of this paper is to propose a conceptual model investigating the impact of three constructs, environmental uncertainty, power asymmetry and information sharing on opportunism engagement in exchange relationships.

Data were collected from procurement or sales managers of 99 manufacturing firms in Kampala, Uganda’s capital using a cross-sectional survey. Hypotheses were tested in both the agricultural and non-agricultural manufacturing sectors using multiple regression runs in the SPSS software.

Environmental uncertainty increases opportunism in the agricultural sector whilst power asymmetry increases opportunism in the non-agricultural sector. Across both sectors, information sharing does not have a significant impact on opportunism.

This paper contributes to a deeper understanding of opportunism in a developing country context by highlighting the contextual factors within the agricultural and non-agricultural manufacturing sectors that influence opportunism engagement under conditions of environmental uncertainty, power asymmetry and information sharing. This paper presents implications for practice and policy to minimise opportunism with the goal of enhancing the participation of Ugandan manufacturing firms in global supply chains.

The purpose of the article is to explore the perceptions of Brazilian game developers about the power relations between them and the sponsors of digital game platforms. It also aims to identify forms of collective action that developers can use to counteract the asymmetry of power.

The research employed an abductive approach, seeking empirical evidence that would challenge consolidated theory. To achieve this, semi-structured interviews were conducted with 25 Brazilian developers. The data were analyzed qualitatively using NVivo software. The aim was to resolve theoretical ambiguities identified in the literature review and to explore unexpected findings.

The study explores Brazilian game developers' perceptions through interviews, revealing their experiences within the industry’s concentrated structure and their use of collective action to navigate power dynamics.

The study's focus on Brazil limits the generalizability of its findings to the broader game development industry.

The study suggests Brazilian game devs can leverage collective action to counteract power imbalance with platforms, collaborate through events and projects and facilitate internationalization of their games.

The study suggests collective action could empower developers to challenge platform dominance and foster a stronger community among Brazilian game developers.

The article’s value lies in examining Brazilian devs' experiences within their specific industry context and highlighting collective action as a potential strategy for developers.

This paper aims to examine the existing literature on firms’ power through the lens of the supply chain and highlights some gaps that could be covered by future research.

This study uses a systematic framework-based review combining the insights of the antecedents, decisions and outcomes (ADO) and theories, contexts and methods (TCM) frameworks. The review was carried out using a sample of 108 articles published between 1984 and 2022 in 25 prestigious journals.

The ADO framework maps out the state of the art of the antecedents of power (i.e. sources and types of firm power), the decision to use power and the effect that exercising power over other firms may have on firm performance and the quality of inter-firm relationships. In addition, this framework highlights factors that mediate or moderate the decision to exercise power and the factors that mediate or moderate the outcomes of exercising power or power asymmetry. The TCM framework provides insights into the theories, contexts (i.e. countries, industries, level of analysis and sources of data) and methods used by the existing literature. The content analysis using the aforementioned frameworks provides the basis to elaborate propositions for future research on power in the supply chain from the perspective of gender differences.

This systematic literature review offers a comprehensive guide for researchers to understand the antecedents, decisions and outcomes of firm power in the supply chain, as well as the TCM used in the literature. The content analysis using frameworks provides a road map to investigate the proposed factors that might moderate the decision to exercise power and the outcome of exercising power or power asymmetry from the perspective of gender differences. In addition, based on content analysis, the authors make propositions about TCM that could be applied in future research.

From a practical perspective, this systematic literature review may help managers to better understand the sources and consequences of their firm’s power. This would allow managers to make better decisions when negotiating with their supply chain parties, which could potentially lead to better performance for their firms and the whole supply chain.

To the best of the authors’ knowledge, this study is the first to conduct a comprehensive systematic literature review of the different dimensions of firms’ power in the supply chain.

The purpose of this study is to analyse the role of relational power/dependent asymmetries and symmetries in shaping socially responsible supply chain management, whilst also examining how these issues are moderated by geographical distance between buyer and supplier.

The study draws on data from 339 buyer‐supplier relationships, and the authors use a set of regression models to test their hypotheses.

Joint dependency positively influences socially responsible supply chain management, whilst supplier power constrains it. Both joint dependency and buyer power become increasingly important determinants of socially responsible supply chain management as geographic distance increases.

Further work is needed to examine the conditions under which organisations will exercise their power advantage or their joint dependence position to improve socially responsible processes in the supply chain, as there may be situations where the buyer chooses not to exercise their power positions.

The authors' results indicate that jointly dependent relationships create the best conditions for socially responsible supply chain management, but they also find that supplier power advantage can constrain such initiatives.

This is the first paper to systematically analyse the implementation of socially responsible supply chain management, within a model that considers power a/symmetric positions of the buyer‐supplier relationship, and the role of geographical distance as a moderating influence on these power positions.

Depression is a mental health problem characterized by a persistent sense of sadness and loss of interest. EEG signals are regarded as the most appropriate instruments for diagnosing depression because they reflect the operating status of the human brain. The purpose of this study is the early detection of depression among people using EEG signals.

(i) Artifacts are removed by filtering and linear and non-linear features are extracted; (ii) feature scaling is done using a standard scalar while principal component analysis (PCA) is used for feature reduction; (iii) the linear, non-linear and combination of both (only for those whose accuracy is highest) are taken for further analysis where some ML and DL classifiers are applied for the classification of depression; and (iv) in this study, total 15 distinct ML and DL methods, including KNN, SVM, bagging SVM, RF, GB, Extreme Gradient Boosting, MNB, Adaboost, Bagging RF, BootAgg, Gaussian NB, RNN, 1DCNN, RBFNN and LSTM, that have been effectively utilized as classifiers to handle a variety of real-world issues.

1. Among all, alpha, alpha asymmetry, gamma and gamma asymmetry give the best results in linear features, while RWE, DFA, CD and AE give the best results in non-linear feature. 2. In the linear features, gamma and alpha asymmetry have given 99.98% accuracy for Bagging RF, while gamma asymmetry has given 99.98% accuracy for BootAgg. 3. For non-linear features, it has been shown 99.84% of accuracy for RWE and DFA in RF, 99.97% accuracy for DFA in XGBoost and 99.94% accuracy for RWE in BootAgg. 4. By using DL, in linear features, gamma asymmetry has given more than 96% accuracy in RNN and 91% accuracy in LSTM and for non-linear features, 89% accuracy has been achieved for CD and AE in LSTM. 5. By combining linear and non-linear features, the highest accuracy was achieved in Bagging RF (98.50%) gamma asymmetry + RWE. In DL, Alpha + RWE, Gamma asymmetry + CD and gamma asymmetry + RWE have achieved 98% accuracy in LSTM.

A novel dataset was collected from the Central Institute of Psychiatry (CIP), Ranchi which was recorded using a 128-channels whereas major previous studies used fewer channels; the details of the study participants are summarized and a model is developed for statistical analysis using N-way ANOVA; artifacts are removed by high and low pass filtering of epoch data followed by re-referencing and independent component analysis for noise removal; linear features, namely, band power and interhemispheric asymmetry and non-linear features, namely, relative wavelet energy, wavelet entropy, Approximate entropy, sample entropy, detrended fluctuation analysis and correlation dimension are extracted; this model utilizes Epoch (213,072) for 5 s EEG data, which allows the model to train for longer, thereby increasing the efficiency of classifiers. Features scaling is done using a standard scalar rather than normalization because it helps increase the accuracy of the models (especially for deep learning algorithms) while PCA is used for feature reduction; the linear, non-linear and combination of both features are taken for extensive analysis in conjunction with ML and DL classifiers for the classification of depression. The combination of linear and non-linear features (only for those whose accuracy is highest) is used for the best detection results.

The purpose of this paper is to explore how information sharing practices influenced inter-firm relationships. This was done specifically in relation to bulk commodity supply chains, due to the pre-existing power asymmetries in the system.

This research was conducted using an interpretivist, inductive approach. The intention was to gather a wide range of data and then explore the data to see which themes emerged, rather than focusing on collecting data relevant only to specific themes.

The key findings of this research focused around the difference between creating situations of compliance or collaboration in a supply chain context. This suggests that by understanding the relationships that exist between organisations, those in procurement and supply chain management roles will be able to better understand and manage the nuances of their supplier relationships.

The study is focused on a supply network specifically configured to facilitate sourcing and distribution of bulk grain. As such the findings need to be understood within the constraints of this context.

Reliance on coercive power in an institutional change process is shown in our study to create a situation of compliance rather than of collaboration. Reliance on a different type of power, such as referent power, would be more successful in creating a situation of collaboration.

The sourcing and distribution of bulk grain is fundamental to food distribution in a developed economy. Our study provides a set of propositions indicating where managers can focus to more effectively manage these flows.

The definition of the “agent” also provided an interesting point of comparison. This research found that the ultimate definition of the “agent” changes and can be linked to the institutional differences in ownership within a supply chain. This suggests the potential to redefine the way that Agency theory is discussed. The notion that the “agent” is dynamic and is likely to be the “agent”, “caretaker” and more at the same time suggests the potential for the traditional definition of the agent to be challenged.

Drawing on the relational view and contingency theories, this study explores supply chain relationship conditions' roles in interrelationships between environmental, social and supply chain performance (SCP), i.e. triple bottom line (TBL).

The data from industries and structural equation modeling (SEM) were used to validate the proposed model. Interviews with industry experts were conducted to further understand the findings.

The authors find that relationship conditions, such as inventory information sharing, dependency, opportunistic behavior and conflicts, moderate TBL linkages. Interestingly, power asymmetry does not moderate the linkages. Social performance mediates between environmental and SCP. This indirect effect is stronger than the effect of environmental performance on SCP.

This research is perhaps the first to bring a much-needed nuanced view on the importance of relationship conditions for TBL performance linkages. The research further underlines the importance of social performance in an emerging economy.

Buyers and suppliers often perceive relationship governance mechanisms, such as trust and contractual fairness, in different ways. These differences in perception create an extra layer of complexity that is often ignored in the extant literature. This study adds to the understanding of how perceived asymmetries in trust and contractual fairness, two key relationship governance mechanisms, impact relational rents. This study also analyzes how boundary spanners aid managers to deal with these perceived asymmetries.

Based on survey data of 103 buyer–supplier dyads from a single global manufacturer of industrial equipment, the authors test hypotheses of perceived asymmetries in trust and contractual fairness, as well as the moderating effect of boundary spanners, on relational rents.

This research challenges the belief that asymmetries negatively impact or lead to unstable buyer–supplier relationships. Furthermore, it explains how preferential treatment and length of the relationship could reduce the impact of asymmetric perceptions.

This study stresses that open communication, which considers different viewpoints, helps to overcome the negative differences in attitude and perception. In addition, the authors found that long-term relationships seem to be far more resilient in dealing with asymmetries and that preferential treatments are best applied in (approximately) symmetric relationships in terms of contractual fairness.

While studies on buyer–supplier relationships often assume symmetric perceptions of governance mechanisms, asymmetric perceptions are far more prominent in reality. This study aims to improve one’s understanding of the impact of these asymmetries as well as how boundary spanners can affect these perceptions.

There have been increasing calls to explore the psychological contract from the lens of power. By addressing this gap, the purpose of this paper is to investigate the assumption of mutuality in relation to power dynamics in the employment relationship.

A total of 43 in-depth interviews are conducted with 6 managerial and 37 non-managerial respondents in three major call center organizations in Pakistan. Template analysis is used to analyze the data.

By undermining the assumption of implicit mutuality, the analysis reveals indeterminacy, an issue that has been frequently underplayed in the psychological contract research. The results further suggest that – in reality – employability, flexibility and employee training do not promote mutuality to the extent that is theoretically assumed because of the employers’ manipulation of these issues in their own favor.

The focus on call centers limits the generality of findings with further qualitative research needed in other industries to explore how power asymmetries impact upon mutuality in different working environments.

The research implications suggest the significance of timely and explicit communication in order to curtail indeterminacy in the employment relationship. This will not only reduce the development of breach perceptions among employees but will also reinforce their psychological contracts with the organization.

This research contributes by highlighting the significance of mutual dependence rather than mutuality in the psychological contract. The mutual dependence approach efficiently acknowledges the implications of power asymmetries which remain largely under-researched in the psychological contract theory.