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In the face of information leakage, this study aims to demonstrate pathways to supply chain resilience (SCR) during information sharing by deploying organizational ethical climate (OEC) and information security culture (ISC) as non-punitive mitigation approaches.

This empirical study was conducted to verify the framework using a questionnaire distributed to Malaysian multinational corporations (MNCs) of the manufacturing sector. The data were analysed using structural equation modeling (SEM) techniques with the AMOS software.

This study has confirmed the adverse impact of intentional and unintentional leakages on information sharing effectiveness. The findings showed ISC could reduce the impact of information leakage, but an OCE could not. This study provides evidence that information sharing effectiveness could impact SCR. The former is a mediator between information leakage and SCR, with information leakage moderated by information security culture. These findings convey that multinationals should set up an ISC to reduce information leakage and enhance their SCR.

Prior studies lacked the explanation of the impact of mitigating factors on information leakage in information sharing effectiveness affecting SCR. A framework that explains the relationships add value to organizations making available strategic decisions to curb information leakage and manage SCR.

This paper investigates state auditors’ decisions regarding the isolation or projection of sample misstatements to underlying sample populations. Seventy-eight state auditors completed four treatment cases that incorporate the complete 2×2 manipulation of intentional/unintentional and systematic/non-systematic misstatements in different case scenarios, enabling a test of the independent variables both across and within case scenarios.

The results indicate that both across and within case scenarios, auditors tend to project systematic misstatements more often than they project non-systematic misstatements. However, the auditors’ isolation/projection decisions are generally not influenced by whether the sample misstatements are intentional or unintentional.

The purpose of this paper is to explore the relationship between employee perceptions of unfair treatment of older workers and employee engagement.

In a sample of over 4,500 workers, ages 18-94, from a retail workforce across three regions of the USA, the authors examine the relationship between perceptions that older workers are less likely to be promoted and employee engagement, using multilevel mixed effects linear regression models. The authors also examine whether the relationship is different if older workers were seen as fit for promotion, and whether discrimination is: intentional (fit, but less likely to be promoted) or unintentional (unfit, and less likely to be promoted).

Results indicate that perceived discrimination is related to lower levels of employee engagement among workers of all ages. Findings also suggest that for older workers, there is a more negative relationship between unintentional discrimination and employee engagement, while for younger workers the relationship is more negative for intentional discrimination.

Age discrimination is a critical issue for managerial psychology. While the authors' study is limited to one organization, the idea of unintentional discrimination may make it easier for managers to recognize and challenge discriminatory attitudes and behaviors in less threatening ways.

As older workers of today may not exit the workforce in predictable ways, there is a need to understand potential barriers to continued work. Traditional measures of stereotypes and perceptions of older workers are used here for the first time to construe intentional and unintentional discrimination, which may be one such barrier.

The authors employ the vessels that comprise the dry bulk segment of the maritime industry and examine how market sentiment affects the herding behavior of shipping investors in a real asset market.

The authors employ a threshold regression model to examine how changes in market sentiment can affect herding behavior in oceanic dry bulk shipping.

The results show that the behavioral aspect of investing, measured through intentional and unintentional herding, contrary to the results for financial markets, is affected by sentiment on the buy side (newbuildings) but not on the sell side (scrapping). Furthermore, the authors provide evidence that when market sentiment is negative, investors tend to follow market leaders (intentional herding), while, when sentiment is positive, unintentional herding leads to common investment practices among shipping investors.

The results have significant implications both for academics and for practitioners since they reflect a clear distinction of the pattern of investment decisions for real assets, compared to financial assets.

The purpose of this paper is to examine industry herding among the institutional investors and to find whether their herding behaviour is intentional or unintentional.

The study uses Lakonishok et al. (1992) model to examine the presence of industry herding behaviour among institutional investors. To determine whether the herding observed is intentional or unintentional, herding measure is regressed with volatility, volume, beta and return. The period of the study is from 1 April 2005-31 March 2015.

The findings of the study showed that though institutional investors have herding tendency towards most of the industries, in the overall period industry herding was not significant. The herding found in some industrial sectors was linked to economic performance of those sectors in India during the period of study and hence the herding was unintentional in nature.

This is the first attempt to study industry herding among institutional investors and their intent in Indian market ever since the country opened its market to foreign investors in a big way. Present study is limited to the use of only bulk/block data instead of the entire trading data for the period.

This study is the first attempt to investigate industry herding behaviour of institutional investors in the market using their bulk and block trading data. The herding observed in well performing industries has been shown to be unintentional and hence rational. The results indicate that the entry of big institutional investors, including foreign institutions into the Indian market has not destabilised the market by irrational herding.

It is unclear from Canadian case law what the appropriate legal standards of care and regulation should be in athlete injury cases. This chapter provides an overview of existing legal standards and explores the question of participant liability in sport, especially ice hockey. It reviews the applicability of tort law, including both intentional torts and unintentional torts, and considers the applicability and impact of the notion of ‘volenti non fit injuria’ (or voluntary assumption of risk).

The chapter is based on a review of Canadian case law.

Canadian courts have adopted varying standards whereby it is seemingly easier to prove negligence in certain provinces than others. We discuss the implications of these conflicting jurisdictional standards and the need for clearer and more consistent legal guidelines. Further, we show why appropriate legal standards should extend beyond purely objective and legalistic interpretations to more subjective and sociological factors that place sports violence and sports injury in social context.

The purpose of this paper is to explore the human factors triggering information leakage and investigate how companies mitigate insider threat for information sharing integrity.

The methodology employed is multiple case studies approach with in-depth interviews with five multinational enterprises (MNEs)/multinational corporations (MNCs).

The findings reveal that information leakage can be approached with human governance mechanism such as organizational ethical climate and information security culture. Besides, higher frequency of leakages negatively affects information sharing integrity. Moreover, this paper also contributes to a research framework which could be a guide to overcome information leakage issue in information sharing.

The current study involved MNCs/MNEs operating in Malaysia, while companies in other countries may have different ethical climate and information sharing culture. Thus, for future research, it will be good to replicate the study in a larger geographic region to verify the findings and insights of this research.

This research contributes to the industry and business that are striving toward solving the mounting problem of information leakage by raising awareness of human factors and to take appropriate mitigating governance strategies to pre-empt information leakage. This paper also contributes to a novel theoretical model that characterizes the iniquities of humans in sharing information, and suggests measures which could be a guide to avert disruptive leakages.

This paper is likely an unprecedented research in molding human governance in the domain of information sharing and its Achilles’ heel which is information leakage.

This paper aims to describe how organization’s identity changes in the course of time. Focus is on project-based companies.

The paper first highlights the concept of process thinking. Then follow descriptions of notions of identity and identity change as change processes. After that, three different identity change processes – negotiation of meaning, lauguaging and interaction – are illustrated. And after that follows the main content of the paper, namely, descriptions of identity changes in organizations. These descriptions focus on two approaches: “Unintentional identity change” and “Intentional identity change”.

Identity provides organizations with powerful understanding of theories of who they are. These understandings guide subsequent resource allocation decisions. Identity change in an organization can be categorized into unintentional and intentional identity changes. Unintentional identity changes takes place through the previously mentioned three processes. Instead, intentional identity change takes place through strategy planning.

Finding a viable view through which organizations can understand how their identities chance in the course of time is a very important issue. Therefore, in this paper, the authors have sought to offer a brief illustration of this area.

In the literature, rather, a lot of attention has been focused on how identities are constructed, and what is their role, for example, in the companies’ strategic management and marketing. However, less attention has been paid to how identities are involved in organizations’ change processes. That is why the goal of this paper is to address that lack by studying identity change in organizations.

This paper proposes a theory-based process model for the generation, articulation, sharing and application of managerial heuristics, from their origin as unspoken insight, to proverbialization, to formal or informal sharing, and to their adoption as optional guidelines or policy.

A conceptual paper is built using systematic and non-systematic review of literature. This paper employs a three-step approach to propose a process model for the emergence of managerial heuristics. Step one uses a systematic review of empirical studies on heuristics in order to map extant research on four key criteria and to obtain, by flicking through this sample in a moving-pictures style, the static stages of the process; step two adapts a knowledge management framework to yield the dynamic aspect; step three assembles these findings into a graphical process model and uses insights from literature to enrich its description and to synthesize four propositions.

The paper provides insights into how heuristics originate from experienced managers confronted with negative situations and are firstly expressed as an inequality with a threshold. Further articulation is done by proverbialization, refining and adapting. Sharing is done either in an informal way, through socialization, or in a formal way, through regular meetings. Soft adoption as guidelines is based on expert authority, while hard adoption as policy is based on hierarchical authority or on collective authority.

The findings are theory-based, and the model must be empirically refined.

Practical advice for managers on how to develop and share their portfolio of heuristics makes this paper valuable for practitioners.

This study addresses the less-researched aspect of heuristics creation, transforms static insights from literature into a dynamic process model, and, in a blended-theory approach, considers insights from a distant, but relevant literature – paremiology (the science of proverbs).

Organisations must build resilience to be able to deal with disruptions or non-routine events in their supply chains. While learning is implicit in definitions of supply chain resilience (SCRes), there is little understanding of how exactly organisations can adapt their routines to build resilience. The purpose of this study is to address this gap.

This paper is an in-depth qualitative case study based on 28 interviews across five companies, exploring learning to build SCRes.

This study uncovers six learning mechanisms and their antecedents that foster SCRes. The learning mechanisms identified suggest that through knowledge creation within an organisation and knowledge transfer across the supply chain and broader network of stakeholders, operating routines are built and/or adapted both intentionally and unintentionally during three stages of a supply chain disruption: preparation, response and recovery.

This study shows how the impact of a supply chain disruption may be reduced by intentional and unintentional learning in all three disruption phases. By being aware of the antecedents of unintentional learning, organisations can more consciously adapt routines. Furthermore, findings highlight the potential value of additional attention to knowledge transfer, particularly in relation to collaborative and vicarious learning across the supply chain and broader network of stakeholders not only in preparation for, but also in response to and recovery from disruptions.

This study contributes novel insights about how learning leads both directly and indirectly to the evolution of operating routines that help an organisation and its supply chains to deal with disruptions. Results detail six specific learning mechanisms for knowledge creation and knowledge transfer and their antecedents for building SCRes. In doing so, this study provides new fine-grained theoretical insights about how SCRes can be improved through all three phases of a disruption. Propositions are developed for theory development.