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Although credit unions are nonprofit organizations, their objectives depend on the efficient management of their resources and credit risk aligned with the principles of the cooperative doctrine. This paper aims to propose the combined use of credit scoring and profit scoring to increase the effectiveness of the loan-granting process in credit unions.

This sample is composed by the data of personal loans transactions of a Brazilian credit union.

The analysis reveals that the use of statistical methods improves significantly the predictability of default when compared to the use of subjective techniques and the superiority of the random forests model in estimating credit scoring and profit scoring when compared to logit and ordinary least squares method (OLS) regression. The study also illustrates how both analyses can be used jointly for more effective decision-making.

Replacing subjective analysis with objective credit analysis using deterministic models will benefit Brazilian credit unions. The credit decision will be based on the input variables and on clear criteria, turning the decision-making process impartial. The joint use of credit scoring and profit scoring allows granting credit for the clients with the highest potential to pay debt obligation and, at the same time, to certify that the transaction profitability meets the goals of the organization: to be sustainable and to provide loans and investment opportunities at attractive rates to members.

This research aims to examine and understand the rationales and modalities behind the use of disclosure before, during and after a corporate governance scandal involving CPA Australia (CPAA).

Data beyond CPAA's annual reports were collected, such as news articles, media releases, an independent review panel (IRP) report, and the Chief Operating Officer's letter to members. These disclosures were manually coded and analysed through the word counts and word trees in NVivo. This study also relied on Norbert Elias' conceptual tool of power games among networks of actors – figurations – to model the scandal as a power game between the old Board, the press, concerned members, the IRP and the new Board. This study analysed the data to reveal a collective and in fieri power balance that changed with the phases of the scandal.

A mix of voluntary, involuntary, requested and absent disclosures was important in triggering, managing and ending the CPAA scandal. Moreover, communication and disclosure fulfilled a constitutive role since both: mobilised actors, enabled coordination among actors, contributed to pursuing shared goals and influenced power balances. Such a constitutive role was at the heart of the ability of coalitions of figurations to challenge and restore the powerful status quo.

This research introduces to accounting studies the collective and in fieri dimensions of power from figurational theory. Moreover, the research sheds new light on using voluntary, involuntary, requested and absent disclosures before, during and after a corporate crisis.

This study aims to propose a comprehensive greenfield foreign direct investment (FDI) attractiveness index using exploratory factor analysis and automated machine learning (AML). We offer offer a robust empirical measurement of location-choice factors identified in the FDI literature through a novel method and provide a tool for assessing the countries' investment potential.

Based on five conceptual key sub-domains of FDI, We collected quantitative indicators in several databases with annual data ranging from 2006 to 2019. This study first run a factor analysis to identify the most important features. It then uses AML to assess the relative importance of each resultant factor and generate a calibrated index. AML computational algorithms minimize predictive errors, explore patterns in the data and make predictions in an empirically robust way.

Openness conditions and economic growth are the most relevant factors to attract FDI identified in the study. Luxembourg, Hong Kong, Singapore, Malta and Ireland are the top five countries with the highest overall greenfield attractiveness index. This study also presents specific indices for the three sectors: energy, financial services, information and communication technology (ICT) and electronics.

Existent indexes present deficiencies in conceptualization and measurement, lacking theoretical foundation, arbitrary selection of factors and use of limited linear models. This study’s index is developed in a robust three-stage process. The use of AML configures an advantage compared to traditional linear and additive models, as it selects the best model considering the predictive capacity of many models simultaneously.

This study aims to explore how haute cuisine excellence is and can be self-represented on the websites of three-star restaurants and juxtaposed onto the websites of external authoritative food guides.

In total, 26 French Michelin three-star restaurant websites and their reviews in the prominent Michelin and Gault and Millau dining guides were examined. This data was then processed using lexicometric software.

Five semantic universes emerged, showing that restaurants and dining guides do not emphasize the same elements of culinary excellence. While restaurant websites emphasize the charismatic leadership role of the chef through family history, professional recognition and vicarious learning, the two iconic guides are far from rating the criteria they claim to: For the Michelin Guide, criteria other than cuisine appear central. Conversely, Gault and Millau, far from its nouvelle cuisine principles advocating democratization at lower cost, insists on fine products.

It remains essential for restaurants to use a repertoire of cultural components and symbols, capitalize on the charismatic and architectural roles of their chef and showcase fine products that are representative of classical cuisine. Storytelling and dynamic narrative add-ons, regularly updated on large-audience social media, appear central to increasing restaurants’ perceived value, communicating innovation and attesting to their singularity and uniqueness.

To the best of the authors’ knowledge, this is the first empirical study to overlap the lexical perspectives of three-star restaurants and iconic guides’ websites.

This study aims at exploring how small and medium enterprises (SMEs) can implement a more open and co-creational business model by actively collaborating with startups.

Because of the novelty of the SME–startup collaboration phenomenon and to the depth of the investigation required to grasp the mechanisms and logic of an open and co-creational business model, a single-case study has been performed related to investigating a collaboration between an SME and a startup.

The authors provide detailed empirical evidence on how SMEs may structure a “systematic” approach to design and execute an open business model enabled by startup collaboration. Moreover, this study suggests that the business model innovation process represents a necessary forerunner of an open business model. Finally, the authors contend that research on open business models should entail a broader perspective beyond the innovation process, to include business model validation through testing approaches like the lean startup.

This study takes as the locus of investigation the original perspective of the external partner of a focal firm willing to innovate. This study offers a unique contribution because, to date, few studies adopted such view within a relevant and under-remarked empirical setting linking SMEs and innovative startups.

The study aims to understand how dynamic capabilities (DCs) contribute to business model innovation (BMI) in sustainable family farming. The agrifood sector has been seeking solutions for the development of agroecological markets. Thus, the authors have analyzed the challenges imposed to innovation and sustainability strategic management and the value proposition to sustain the business over the years.

Considering the complexity of organizations and through an exploratory multiple case study of initiatives identified in the Organic Fair of Curitiba’s Passeio Público, it was possible to analyze the evolution of the business models (BMs) and the fair itself. Furthermore, it was possible to identify the DCs within the influence of agroecosystem elements on the innovation development.

Analyzing each case individually, the authors understood the different dimensions of the evolution of BMs considering the organizational complexity. The authors conclude that the balance between organizational practices and changes in the environment, engagement and learning plays a significant role in the developing competitive advantage. The same applies to the patterns that precede the development of DCs and BMs.

The article investigates innovation in agroecological BMs from a dynamic capability perspective. The agroecological BM is a subject that is still little discussed in the literature. In addition, the authors chose a context that includes socioenvironmental aspects and a few specificities of family farming in Brazil.

While many studies in family business research focus on mono-causal impacts of succession, the purpose of this paper is to employ a systemic approach to analyze dynamic effects of intra-family succession on multiple business areas in family-run companies.

A system analysis using a participatory approach was conducted for a reference family-run company operating in the horticultural retail sector in Germany. The Vester Sensitivity Model, supplemented with principles from system thinking was used to identify key variables related to intra-family succession.

Expert input and analysis of variable co-occurrence revealed key variables associated with succession such as “strategic planning,” “productivity” and “financial flexibility.” Dynamic interactions among various business areas were identified by simulating interventions in succession trajectories. In particular, key variables such as “conflicts between family and work” and “organizational climate” turned out to be highly sensitive to changes during a succession process.

The concept and design of this system analysis tool will allow practitioners such as company managers and business consultants to better understand complex interrelations within companies and provide additional guidance with regard to critical events like business transfer.

The present study uses system thinking to analyze succession and its dynamic and time-lagged impacts on affected business areas in family-run companies for the first time. Repeated application of the systemic approach presented here to real-world business cases will gradually improve the tool and the quality of information it provides.

Logistical facility location decisions can make a crucial difference in the success or failure of a company. Geographical Information Systems (GIS) have recently become a very popular decision support system to help deal with facility location problems. However, until recently, GIS methodologies have not been fully embraced as a way to deal with new facility location problems in business logistics. This research makes a framework for categorizing empirical facility location problems based on the intensity of the involvement of GIS methodologies in decision making. This framework was built by analyzing facility location models and GIS methodologies. The research results revealed the depth of the embracement of GIS methodologies in logistics for determining new facility location decisions. In the new facility location decisions, spatial data inputs are almost always coupled with the visualization of the problems and solutions. However, the usage of GIS capability solely (i.e. suitability analysis) for problem solving has not been embraced at the same level. In most cases, the suitability analysis is used together with special optimization models for choosing among the multiple alternatives.

Several healthcare quality assessment tools measure the processes and outcomes of the care system. The actual physical infrastructure (buildings and organizational) aspects are, however, rarely considered. The purpose of this paper is to describe the process of validation and weighting of an evidence-informed framework for the quality assessment of hospital facilities from social, environmental and organizational perspectives to complement other assessments.

Sustainable High-quality Healthcare version 2 (SustHealth v2) is the updated version of an existing framework composed of three domains (social, environmental and organizational quality). To validate and establish a relevant weighting, interviews were conducted with 15 professionals within the field of healthcare planning, design, research and management. The study has been conducted through semi-structured interviews and the application of the Simon Roy Figueras (SRF) procedure for the elicitation of weights criteria. The data collected have been processed through the DecSpace web platform.

Among the three domains, the organizational qualities appear to be the most important (W = 49%), followed by the environmental (W = 29%) and social aspects (W = 22%). Relevant indicators such as future-proofing, wayfinding and users’ space control emerged as the most important within each macro-area. Those results are confirmed by the outcome of the interviews that highlight user/patient-centeredness, wayfinding strategies and space functionality as the most important concepts to foster in existing healthcare facilities improvement.

The study highlights important structural and organizational aspects that hospital managers and planners can consider when dealing with healthcare facilities’ quality improvement.

The use of the SRF multicriteria method is novel in this context when used to weight an assessment tool with a focus on hospital built environment.

This paper examines the governance function that incubators perform for entrepreneurial firms. The authors demonstrate that this governance function has both a consultative and a control dimension and illustrate how these are enacted in the interactions between incubators and entrepreneurs. The authors also show how these interactions come into being and how entrepreneurs assess the value of the governance role played by incubators.

The paper is based on a cross-sectional interview study with entrepreneurs of 21 start-ups that were hosted by three different incubators. The start-ups are all early-stage technology firms. The analysis in the paper follows an inductive approach.

The authors find that the governance role of incubators is about both consultation and control. Consultative forms of governance include providing input and advice as well as questioning ideas and assumptions. Controlling forms of governance comprise setting targets and tracking progress as well as enforcing structures and documentation. The authors furthermore show that governance episodes are triggered either by the entrepreneurs themselves or by the incubator. In the former case, such episodes are mainly about consultation, while in the latter one, they often have a pronounced control element, which materializes particularly through regularly enforced meetings. Most entrepreneurs seem to appreciate this control element, acknowledging that, in its absence, they would lack the self-discipline of doing some things that need to be done.

This study’s findings extend prior research on inter-organizational relationships and the types of governance mechanisms observed therein. The authors show that a strict separation between actors who offer consultation and those who exercise control is too simplistic. Incubators influence entrepreneurial firms both through consultative and controlling forms of governance. In terms of limitations, this study’s analysis focuses on the perspectives of entrepreneurs, and the authors did not include the perspectives of incubators nor did the authors directly observe meetings between these two parties.

This paper provides examples for how entrepreneurial firms can benefit from being part of an incubator.

This study contributes to the discussion of the governance of inter-organizational relationships by focusing on incubators. In so doing, the authors also complement extant literature on management control in entrepreneurial settings by showing how the incubator fulfills a control function for entrepreneurs before these implement control mechanisms themselves.