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The dissemination of fake news has accelerated with social media and this has important implications for both organizations and their stakeholders alike. Hence, the purpose of this study is to shed light on the effectiveness of the crisis response strategies of denial and attack in addressing rumors about consumer privacy when non-profit organizations are targeted on social media.

To test the hypotheses, a 2 (response type: denial vs attack) × 2 (privacy concerns: low vs high), between-group online experiment was conducted via Qualtrics.

The results indicated that one’s involvement level in the issue determines the effectiveness of the crisis response strategy. Data showed that attacking the source of fake news (as a crisis response) reduces the message’s credibility more than denying fake news. Furthermore, highly involved individuals are more likely to centrally process information and develop positive supportive intentions toward the affected non-profit brand. High issue involvement also predicted organizational and response credibility. Conversely, an attack rebuttal message increased the credibility of the circulated malicious rumors for low involved individuals.

The findings suggest that issue involvement plays a key role in message perceptions of false information regarding consumer privacy in social media.

Practically, this study offers insights for organizations that are developing response strategies in the current environment of fake news. Findings from this study suggest that organizations need to consider the degree to which audiences are currently involved in an issue before deciding how aggressively to respond to perpetrators of fake news.

The present study examines the intersection of fake news and crisis management in the non-profit sector, with an emphasis on various response strategies and issue involvement. This is one of the first attempts to experimentally investigate how social media strategies can defend and protect non-profit reputation in the fake news era.

As companies continue to engage in CSA, they continue to struggle with determining what issues they should speak out about and how they can create compelling messages that inspire action. Guided by arguments from issue ownership theory, this study examines CSA message content effects related to two different social-political issues on advocacy behavioral intentions, megaphoning, brand preference and purchase intention. Specifically, the level of advocacy in a CSA message is examined, as well as the manner in which the message is written (narrative vs informational). Furthermore, this study examines the role of perceived authenticity and its impact on an individual’s supportive intentions.

This study conducts a 2 (issue: abortion rights vs gun violence) × 2 (level of advocacy: call-to-action (CTA) vs no call-to-action) × 2 (message type: narrative vs informational) between-subjects online experiment using a Qualtrics panel (N = 529) to examine the impact of CSA message features on individuals’ supportive intentions toward the brand.

Results indicate a significant interaction effect of issue by advocacy level on advocating behavioral intentions, megaphoning, brand preference and purchase intention, highlighting that companies should advocate more explicitly about some issues than others. The interaction effects of issue type × level of advocacy were completely and significantly mediated by perceived authenticity. Mediation paths revealed that a CTA with the gun violence issue had a significant positive effect on perceived authenticity, whereas a CTA with the abortion rights issue produced a significant negative effect on perceived authenticity.

This study makes a contribution to a growing body of CSA literature through its examination of CSA message content, which has been understudied in this context. The study findings reveal new insights regarding the interplay between issue type and level of advocacy, highlighting the importance of companies selecting issues carefully and tailoring message content appropriately to have the most impact on message receivers.

This study examines the stakeholder’s experiences of two key groups: donors and donor-volunteers. The goals of this study are to (1) determine how donor experience affects organization–public relationships (OPRs) and its antecedents for these two groups and (2) extend the OPR model by considering new potential supportive behavioral intentions arising from OPR outcomes.

Using data from a survey of self-identified donors and donor-volunteers, multiple regressions were performed to establish the possible effects of experience and advocacy on OPRs.

Findings of this study support the idea that donation experience can be considered a potential antecedent for the OPR. The findings also support the idea that advocacy can be a valuable behavioral outcome resulting from OPR.

Nonprofits are ever seeking to better connect with their donor and volunteer supporters. This study helps to show the value of donation experience and the importance of cultivating advocacy behaviors among these supporters.

The study seeks to merge extant theory in communications and public policy to better understand the OPR model. Specifically, connecting OPR to the antecedent of donor experience and behavioral intentions like advocacy will help paint a stronger picture of donor–volunteer relationships with nonprofits.

Caring for a person with a substance use disorder (SUD) and/or mental health disorder (MHD) represents a significant burden for family members. The features of “carers/family members” experiences reflect trauma signatures. Consequently, working through this trauma for carers corresponds with psychological recovery, empowerment processes and intrapersonal/interpersonal needs. The purpose of this paper is to outline a framework called the “personal and relational empowerment (PRE)” framework which enables family support practitioners to help family members to be able to take control of their own lives, develop meaningful relationships and live purposeful and fulfilling lives, regardless of whether the person with the SUD and/or MHD is in recovery or not.

This paper critically reviews existing frameworks for carer recovery, through a systematic literature search, and proposes a “PRE” alternative to redress the shortfalls in these existing frameworks.

The PRE framework takes a multi-level needs-based approach to understand carer recovery. This framework links the concepts – psychological recovery, empowerment processes and intrapersonal/interpersonal needs.

The PRE framework recognises the importance of recovery support practitioners being able to balance the immediate carer crisis intervention needs responses with personal growth and well-being supporting interventions.

The PRE framework of family recovery attempts to answer the need to broaden the focus on the family journey to better reflect the principles and practices of contemporary SUD and/or MHD recovery-based support.

The objective of this study is to analyze the framework within which microfinance institutions (MFIs) deliver their services and provide an assessment of their operations and financial management. These institutions are examined because of their current importance to a special group of consumers, primarily the poor and disenfranchised in the developing world, and of their future promise as an economic development solution. Since the objective of these institutions is somewhat unique, the manner of their assessment must also differ from that used to assess the performance of traditional financial intermediaries. In particular, assessment of MFIs must recognize their dual (bank and development instrument) status. Their efficiency, then, must be analyzed in terms of its economic (or financial) dimension as well as its social dimension. The first dimension may be examined with traditional measures, while examination of the second requires measures that reflect the MFI’s social objectives. In order to accommodate the special nature of MFIs, this study proposes the use of a Balanced Scorecard approach. It contributes to the study of financial institution performance by examining a non‐traditional group of institutions using a variety of assessment measures. The findings should be of value to those interested in the financial sector as well as those involved in public policy decision making.

The lengthy review of the Food Standards Committee of this, agreed by all public analysts and enforcement officers, as the most complicated and difficult of food groups subject to detailed legislative control, is at last complete and the Committee's findings set out in their Report. When in 1975 they were requested to investigate the workings of the legislation, the problems of control were already apparent and getting worse. The triology of Regulations of 1967 seemed comprehensive at the time, perhaps as we ventured to suggest a little too comprehensive for a rational system of control for arguments on meat contents of different products, descriptions and interpretation generally quickly appeared. The system, for all its detail, provided too many loopholes through which manufacturers drove the proverbial “carriage and pair”. As meat products have increased in range and the constantly rising price of meat, the “major ingredient”, the number of samples taken for analysis has risen and now usually constitutes about one‐quarter of the total for the year, with sausages, prepared meats (pies, pasties), and most recently, minced meat predominating. Just as serial sampling and analysis of sausages before the 1967 Regulations were pleaded in courts to establish usage in the matter of meat content, so with minced meat the same methods are being used to establish a maximum fat content usage. What concerns food law enforcement agencies is that despite the years that the standards imposed by the 1967 Regulations have been in force, the number of infringements show no sign of reduction. This should not really surprise us; there are even longer periods of failures to comply; eg., in the use of preservatives which have been controlled since 1925! What a number of public analysts have christened the “beefburger saga” took its rise post‐1967 and shows every indication of continuing into the distant future. Manufacturers appear to be trying numerous ploys to reduce the content below the Regulation 80% mainly by giving their products new names. Each year, public analysts report a flux of new names and ingenious defences; eg, “caterburgers” and similar concocted nomenclature, and the defence that because the name does not incorporate a meat, it is outside the statutory standard.

After decades of hypergrowth, since the 2008 global financial crisis there has been a deceleration of globalization and a partial jamming of its main engines (trade and foreign direct investment [FDI]). This study aims to critically reflect on the current phase, labeling it as “win-lose globalization” characterized by firm-firm competition increasingly intertwined with that between the respective nation-states, which aim to be the relative winners, even at the expense of joint absolute gains. Acting as “strategists,” states implement policies to weaponize economic interdependences, which the paper analyzes.

The approach is “problem setting” rather than “problem solving.” The latter offers well-defined solutions but often assumes unambiguous definitions of problems, which obscure their complexity. This phase is so intricate that the problem itself is problematic. Thus, to advance knowledge, the focus is given on nation-state policies: FDI screening and the politicization of international trade relations; protectionism; misuses of antitrust and regulation.

The intensification of firm-firm/state-state competition, seeking disproportionate gains over rivals, is the ultimate result of the contradictions and dissatisfactions accumulated over decades of globalization, the benefits of which have been far from equally distributed. Conflicts in international economic relations are bound to intensify, and a return to win-win globalization is unlikely. International cooperation to strengthen existing/new supranational governance institutions in the interest of absolute global inclusive benefits is urgently needed.

The paper integrates the international business debate on the fate of globalization with interpretations from industrial policy studies and international relations theory. This allows for suggestions for policymakers, corporate executives and scholars.

Endogeneity is a potential threat to the validity of international marketing (IM) research. The purpose of this paper is to draw the attention of IM researchers to issues of endogeneity, to provide a comprehensive overview of the sources of endogeneity, and to discuss the statistical solutions.

The authors conduct the research in two steps. In the first step, the authors review the nature and sources of endogeneity specifically in IM research. In the second step, the authors review 60 IM papers on endogeneity published in the period 1995-2014 and assess the current practice of addressing endogeneity in the IM literature.

Sample selection bias and simultaneity are prevalent sources of endogeneity in IM research. Internationalization-performance relationship and innovation-export nexus are the two most frequently adopted models subject to potential endogeneity. Simply lagging the main independent variable is statistically flawed in dealing with endogeneity despite its popularity in IM research.

First, a careful choice and application of methods are critical when addressing endogeneity. Second, the authors suggest the employment of multiple study methods to address endogeneity robustly. Third, to prevent or solve endogeneity in structural equation modeling, researchers may either collect data on independent and dependent variables from different respondents or employ a two-stage least squares approach. Finally, it is helpful to design dedicated models to prevent proactively potential endogeneity a priori.

The contribution of this study is twofold. First, it is the first in the literature to discuss the endogeneity issue specifically in IM research. In particular, the study elaborates the origins and consequences of the three most frequently confronted types of endogeneity in IM research. Second, the authors assess the four major methods of addressing endogeneity in IM research with a systematic discussion of the literature from the last two decades. The authors offer suggestions on how to minimize endogeneity in model design and empirical implementation for future IM research.

The purpose of this paper is to reflect on the early direction and maturation of the Journal of Management History (JOMH), evaluate the lasting impact of this primary work and identify implications of findings of this paper for future developments in the study of management history. This article provides a review of the first five years (1995-1999) of the JOMH.

Articles published in the JOMH between the years of 1995 and 1999 were reviewed, and unifying thematic categories were developed. Two independent raters, then, sorted the articles into their respective categories. After agreement was established, general trends in the JOMH’s early direction and focus were considered. Lasting impact was evaluated using citations in Google Scholar by category and year. Similarities among the most cited articles during this period are discussed.

The early years of the JOMH were characterized by shifts in contributions from various management and public administration perspectives, a transition from an early emphasis on historical individuals to a broader focus on topics and ideas and a balance between describing historical accounts (i.e. retelling or recording historical events and individuals) and historical analysis (i.e. considering the influence of historical events and ideas on future events and modern perspectives). The most influential early contributions to the JOMH were articles that focused on the histories of specific management concepts, an approach that is still important and relevant today.

This review provides insights into the development and maturation of the JOMH following its formation.

The purpose of this paper is to describe a large-scale algorithm for generating a catalogue of scientific publication records (citations) from a crowd-sourced data, demonstrate how to learn an optimal combination of distance metrics for duplicate detection and introduce a parallel duplicate clustering algorithm.

The authors developed the algorithm and compared it with state-of-the art systems tackling the same problem. The authors used benchmark data sets (3k data points) to test the effectiveness of our algorithm and a real-life data ( > 90 million) to test the efficiency and scalability of our algorithm.

The authors show that duplicate detection can be improved by an additional step we call duplicate clustering. The authors also show how to improve the efficiency of map/reduce similarity calculation algorithm by introducing a sampling step. Finally, the authors find that the system is comparable to the state-of-the art systems for duplicate detection, and that it can scale to deal with hundreds of million data points.

Academic researchers can use this paper to understand some of the issues of transitivity in duplicate detection, and its effects on digital catalogue generations.

Industry practitioners can use this paper as a use case study for generating a large-scale real-life catalogue generation system that deals with millions of records in a scalable and efficient way.

In contrast to other similarity calculation algorithms developed for m/r frameworks the authors present a specific variant of similarity calculation that is optimized for duplicate detection of bibliographic records by extending previously proposed e-algorithm based on inverted index creation. In addition, the authors are concerned with more than duplicate detection, and investigate how to group detected duplicates. The authors develop distinct algorithms for duplicate detection and duplicate clustering and use the canopy clustering idea for multi-pass clustering. The work extends the current state-of-the-art by including the duplicate clustering step and demonstrate new strategies for speeding up m/r similarity calculations.