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This paper aims to solve the problem of information overload and reduce search costs. It proposes a social e-commerce online reputation formation model and community state-introduced model. A system dynamics trend simulation has been run to capture the relationship among the sellers, buyers, social e-commerce platforms and external environment to obtain an online reputation.

Empirical research relating to social e-commerce reputation has been used to confirm the influencing factors in social e-commerce, and a conceptual framework is developed for social e-commerce reputation formation. Thereafter, a trend simulation is generated to classify the relationship among the factors based on system dynamics. Also, the improved algorithm for community detection and a state-introduced model based on a Markov network are proposed to achieve better network partition for better online reputation management.

The empirical model captures the interaction effect of social e-commerce reputation and the state-introduced model to guide community public opinion and improve the efficiency of social e-commerce reputation formation. This helps minimize searching cost thereby improving social e-commerce reputation construction and management.

There is no appropriate online reputation system to be constructed to test the relationship proposed in the study for a field experiment. Also, deeper investigation for the nodes’ attributes in social networks should be made in future research. Besides, researchers are advised to explore measurement for the reputation of a given seller by using social media data as from Twitter or micro blogs.

Investigations that study online reputation in the social e-commerce are limited. The empirical research figured out the factors which can influence the formation of online reputation in social e-commerce. An SD model was proposed to explain the factors interaction and trend simulation was run. Also, a state-introduced model was proposed to highlight the effect of nodes’ attributes on communities’ detection to give a deeper investigation for the online reputation management.

Non-financial reporting (NFR) is viewed as a major step towards organisational transparency and accountability. While the number of non-financial reports published every year has been growing exponentially over the last two decades, their quality and effectiveness in managing environmental, social and governance (ESG) performance have been questioned. Addressing these concerns, several jurisdictions, including EU Member States, introduced mandatory NFR regimes. However, the evidence on whether such regulation truly translates into enhanced ESG performance remains scarce. This paper aims to fill this gap in the literature by investigating the impact of the EU’s Directive 2014/95/EU (Non-financial Reporting Directive, NFRD) on the ESG scores of Polish companies.

Drawing upon institutional and strategic perspectives on legitimacy theory, the authors test the relationship between the introduction of the NFRD and the ESG scores derived from the Refinitiv database, using a sample of all those companies listed on the Warsaw Stock Exchange whose disclosure allows for measuring ESG performance (yielding 171 firm-year observations from 43 companies).

This study’s findings show an improvement of ESG performance following the introduction of the NFRD. The difference-in-differences approach indicates that the improvement is larger for companies that are subject to the legislation when it comes to overall ESG performance, particularly for environmental and social performance. Nonetheless, to the best of the authors’ knowledge, no significant effect is found for performance in the governance dimension.

This study investigates the role of transnational mandatory reporting regulation in the first years of its enactment. The evidence offers insights into the effects of disclosure legislation in the context of an underdeveloped institutional environment.

By the mid-19th century the British colonial state introduced liberal education to India. Amongst various disciplines, political economy illustrates the concerns of the colonial state with the education of Indians, and its anxiety with quelling political discontentment. The emerging Indian nationalist intelligentsia also utilized ideas from classical political economy, first taught in educational institutions, to critique colonial policy and proposed the development of “Indian Economics”, suited to national economic interests. This paper explores the development of political economy as a specific knowledge form in Calcutta University and Bombay University, and its connection with colonial educational policy^.

This study relies primarily on university records and the proceedings of the Education Department to bring out the politically sensitive nature of the teaching of economics in colonial India.

The study finds that political economy grew from being a minor part of the overall university syllabi to becoming part of the first university departments created in early-20th-century India. The government and nationalist forces both found the discipline to be relevant to their respective agendas. The circulation of knowledge theoretical framework is found to be relevant here.

The history of political economy in Indian universities, especially during the 19th century, has not been dealt with in any detail. This study tries to fill this gap. The close connection between politics and the teaching of economics has also not been studied closely, which this paper does.

This paper presents a method for adapting an Information Security Focus Area Maturity (ISFAM) model to the organizational characteristics (OCs) of a small- and medium-sized enterprise (SME) cluster. The purpose of this paper is to provide SMEs with a tailored maturity model enabling them to capture and improve their information security capabilities.

Design Science Research was followed to design and evaluate the method as a design artifact.

The method has successfully been used to adapt the ISFAM model to a group of SMEs within a regional cluster resulting in a model that is aligned with the OCs of the cluster. Areas for further investigation and improvements were identified.

The study is based on applying the proposed method for the SMEs active in the transport, logistics and packaging sector in the Port of Rotterdam. Future research can focus on different sectors and regions. The method can be used for adapting other focus area maturity models.

The resulting adapted maturity model can facilitate the creation and further development of a base of common or shared knowledge in the cluster. The adapted maturity model can cut the cost of over implementation of information security capabilities for the SMEs with scarce resources.

The resulting adapted maturity model can facilitate the creation and further development of a base of common or shared knowledge in the cluster. The adapted maturity model can cut the cost of over implementation of information security capabilities for the SMEs with scarce resources.

The purpose of this study is to investigate the effect of the COVID-19 pandemic on key performance metrics of accommodation properties by elaborating on the roles of business models (i.e. franchised, chain-managed and independent hotels, and the sharing economy) and state-level restrictions in the US.

The pandemic is considered a variable interference against the average daily rate, occupancy and revenue per available room, which permits the examination of the before and after effects of the pandemic. The panel data model is used to examine the effect of the recent pandemic on the accommodation sector in the USA.

The results showed that chain-managed hotels were the most adversely impacted by the COVID-19 pandemic, while independent hotels were the least adversely impacted. Interestingly, and consistent with emerging consumer needs suggested by spatial distance theory, the pandemic does not have significant negative effects on Airbnb. The adverse impact of the pandemic on hotels was exacerbated in more restrictive states, while Airbnb remained immune to regulatory differences.

This study addresses the dearth of research on the types, roles and efficacy of business models in the accommodation industry and makes important theoretical contributions to the study of business model resilience in the accommodation industry, leveraging the resource-based theory of the firm and spatial distance theory.

The findings of this study make a significant contribution to the extant literature on the resilience of business models in the accommodation industry and have important implications for hotels, Airbnb owners, accommodation brands and destination and health policymakers. They demonstrate that a lower level of corporate control and greater flexibility in brand and operational standards allow for a more effective response to business disruptions such as a global pandemic.

The purpose of this paper is to demonstrate the significance and necessity of adequate management tools to face dynamic complexity. In particular, the paper shows the importance of model‐based support for designing public systems defined through laws. This is illustrated by means of an example: the new reform of the Colombian criminal justice system.

Literature review of model‐based reasoning and justice systems. Illustration with a case study: reform of the Colombian criminal process.

Human reasoning can be characterized as a model‐based activity, which in turn can be improved by constructing and using diverse models. The support of dynamic models for designing law‐defined public systems represents an open field of research. Specific relevance and conceptualization for criminal justice systems are developed.

To introduce the significance of the contribution of computer simulation modeling for supporting system design and lawmaking processes.

The purpose of this paper is to propose that “social demarketing” campaigns need to recognize unique sub segments of individuals engaging in behaviours having substantial negative societal impacts.

Volume segmentation and extremely frequent behaviour theory is applied to examining several unique sub segments among survey data (n=6,393) of Americans not engaging and engaging in anti‐social behaviour (“giving‐the‐finger”) to other motorists while driving.

Less than 2 percent of Americans are estimated to enact 40 percent of the total incidences of “giving‐the‐finger” to other motorists; three unique sub segments of the chronic anti‐social actors participate in different lifestyles (including media usage behaviours) and each has unique demographic profiles.

The study is based on two years of a national survey taken in one country and self‐reports only. The implications support the propositions of a general theory of extremely frequent consumption behaviour.

Government demarcating programs are likely to increase in effectiveness through tailoring a few strategies, rather than one, to influence unique segments of chronic anti‐social actors.

The paper provides individual‐level analysis of chronic anti‐social actors engaging in road‐rage related behaviours and compares them to one another as well as non‐equivalent comparison groups of actors not engaging in such behaviour; the paper describes the merits of experience frequency segmentation.

This article shares an academic library's transition from traditional reference services to a peer support model during a campus reopening post-COVID-19 closure. It examines the conception, implementation and implications of the Peer Mentor program amidst shifts in campus priorities, Library research and reference paradigms and the Library workforce, from the perspectives of library faculty and staff, alongside feedback from student workers.

The article uses a case study approach to detail the Library's Peer Mentor Program by authors involved in various stages of the program's lifespan and discusses the beginnings, implementations and challenges of the program and introduces the unique curriculum used to train student Peer Mentors.

The authors chronicle their own experience after two semesters of the Peer Mentor program alongside qualitative feedback from the first cohort of Peer Mentors. The Peer Mentor feedback points to positive impacts in other academic pursuits and in gaining a greater understanding of the information landscape and the library field.

The case study presented is a valuable example for academic librarians considering beginning peer-to-peer learning models within their own research and reference services units, especially those who may be creating these peer learning networks in the wake of library service disruption or restructure (such as due to the COVID-19 pandemic).

Introduced by John H. Clark, the Map of Mental States is a geometrical model of a human mental life. In spite of its simplicity, it takes into account the most essential variables characterizing the mind. Deals with three important types of mental life which can be represented on the Map: mystical states, mental illnesses and drug states. The exact numerical positions of the states have been established on the Map, for the most known mystical path, for some mental illnesses and for two typical drugs. Rectilinear and curvilinear distances between corresponding states have been calculated and perspectives of such a study have been shown.

This study investigates the impact of state antitakeover legislation on the market value of affected firms and considers the role that both acquisition attractiveness, as measured by firm size, and antitakeover amendments play in the market reaction. When separating the sample by size and by the presence of amendments, small firms display a negative reaction to the legislation, large firms show no reaction, firms without amendments react negatively, and there is a positive reaction for firms with amendments. When separating the sample on the basis of both dimensions, small firms without amendments, the most attractive acquisition targets, experience a significant, negative market response. Large firms with amendments, the least attractive group, are positively affected. The two intermediate groups are not significantly affected.