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The purpose of the study is to examine the use of alternative information in bank lending to small and medium enterprises (SMEs). Understanding alternative information and its use in bank lending to SMEs is important because it has become a growing part of the future of SME finance. The results and findings of my study not only enrich the finance literature but, more importantly, also address the use of Fintech in the risk management of SME lending, a new and complex problem that is specific to both the information technology and finance field.

To answer the research question, the author used a case study approach that relies upon qualitative data and analysis. By iterating between the existing literature, theoretical pieces and empirical findings, the author explain and interpret in detail how the use of alternative information impacts loan outcomes and develop insights to guide future research.

The case is outlined in two time periods including the prepartnership period and the postpartnership period. It highlights the establishment of a partnership between LoanBank and FintechInc (pseudonym), aimed at SME-focused Fintech lending. The findings underscore how the partnership has enabled a mutually beneficial situation where LoanBank and FintechInc leverage each other’s strengths to provide efficient and effective lending services. The adoption of alternative information in the risk management Fintech (RMF) platform of FintechInc has transformed LoanBank’s lending processes, showcasing how technological innovations can enhance SME lending practices.

The study’s originality mainly lies in the three detailed insights regarding alternative information’s impact on SME lending: information, platform properties and financial inclusion. The information part demonstrates that RMF platforms expand the information used for lending decisions, shifting from traditional hard and soft data to incorporating various alternative information sources. The platform properties part suggests that location, openness and technology also play a pivotal role in shaping lending outcomes. Finally, the financial inclusion part proposes that the use of alternative information has the potential to improve financial inclusion and offer better credit terms to previously underserved borrowers.

This chapter reviews models of decision-making and choice under conditions of certainty. It allows readers to position the contribution of the other chapters in this book in the historical development of the topic area.

Bounded rationality is defined in terms of a strategy to simplify the decision-making process. Based on this definition, different models are reviewed. These models have assumed that individuals simplify the decision-making process by considering a subset of attributes, and/or a subset of choice alternatives and/or by disregarding small differences between attribute differences.

A body of empirical evidence has accumulated showing that under some circumstances the principle of bounded rationality better explains observed choices than the principle of utility maximization. Differences in predictive performance with utility-maximizing models are however small.

The chapter provides a detailed account of the different models, based on the principle of bounded rationality, that have been suggested over the years in travel behaviour analysis. The potential relevance of these models is articulated, model specifications are discussed and a selection of empirical evidence is presented. Aspects of an agenda of future research are identified.

Entrepreneurship is recognized by many as a solution to environmental and social challenges of today’s society. However, it has also been criticized since it may maintain the capitalistic demands of growth and efficiency in an unsustainable way. In this chapter, we challenge the current conception of entrepreneurship that aims for societal change by tracing what, how, where, and with whom such entrepreneurship is performed. Furthermore, we take inspiration from the idea of diverse economy by Gibson-Graham and introduce the concept of alternative entrepreneurship to explore how it takes shape, changes its contours, and both challenges and propels contemporary capitalism. In this chapter, we present three ethnographic cases of the unfolding of diverse entrepreneurial activities: (1) the case of Oria, who contributes to social justice through fair trade; (2) the case of artisan food producers who contribute to biological diversity and a rural livelihood; and (3) the case of the DiE project/NEEM NGO, which contributes to social inclusion through entrepreneurial empowerment and the development of a microcredit program. We find that the alternative entrepreneurs are not constrained by organizational forms or by a limited number of economic and non-economic activities that target societal challenges. The alternative entrepreneurs move between different organizational forms such as non-profit and for profit, as well as, undertaking business and voluntary practices to achieve societal change. Finally, we conclude that the ethnographic tracing of alternative entrepreneurship allows previously unsighted activities to become more visible and brings attention to possibilities of creatively destroying overly narrow conceptions of entrepreneurship.

This chapter seeks to address questions related to the convergence among alternative agrifood movements as well as the convergence between alternative and conventional practices with a focus on local movements. We reconstruct the common conflation of the alternative/conventional binary into a multidimensional measure that recognizes the complex interactions of economic, political, social, and cultural elements in the construction of convention, alterity, and opposition. We also consider several forms of possible convergence: multi-organizational, multi-sectoral (among elements of the agrifood system), multidimensional (among political, economic, cultural, and social practices), and multilevel or scale (hierarchy of spatially embedded governance units). These matters are empirically examined by focusing on the rapidly growing Food Policy Council (FPC) movement in North America. We address the question of this movement’s diffusion, consider its variable linkages between state and civil society, and examine the substantive practices and framings in which the movement has been engaged. While we find that most FPC practices are probably vulnerable to conventionalization, the movement’s most valuable function may be its modular form. That form functions as an incubator of multi-organizational and multi-sectoral experimental practices in a multiplicity of local environments. Further, ties between FPCs provide a networking mechanism for transmitting information about the successes and failures of those experiments among hundreds of locales and regions. Finally, the discourse among the FPC leadership amplifies values favoring the democratization of food, and articulates beliefs in the right to food as well as notions of food citizenship and sovereignty.

The increasing use of complex, nonfinancial environmental performance measures in managerial decisions motivates consideration of contextual influences that potentially impact managerial judgments in environmental settings. This study extends general evaluability theory (GET: Hsee & Zhang, 2010) to environmental accounting by investigating the combined effects of evaluation mode and incomplete supplemental evaluability information (SEI; e.g., benchmark data) on management decisions. To elaborate, evaluation mode is the display format in which the accounting information system (AIS) provides available information for analysis; e.g., a manager’s or business unit’s performance is assessed either comparatively (i.e., in joint mode) or individually (i.e., in separate mode). GET suggests more decision weight on measures containing SEI in separate mode because that evaluation mode contains less context in which to analyze information. On the other hand, more decision weight should result for measures that do not contain SEI in joint mode because that mode already contains more context for analysis (e.g., comparing multiple performances with each other). To test these predictions, experimental participants (n = 53) evaluated environmental measures for factories with similar environmental performances. To operationalize the information available in many environmental AIS, some, but not all, performance measures contained benchmark data (incomplete SEI); factories were evaluated either jointly or separately. Participants evidenced decision intransitivity; i.e., in separate evaluation mode, factories rated higher when a favorable measure contained SEI, while in joint evaluation mode, factories rated higher when a favorable measure lacked SEI. The results extend previous AIS and management accounting research by investigating contextual influences, and potential systems design elements, in judgments using environmental AIS.

With numerous and ambiguous sets of information and often conflicting requirements, construction management is a complex process involving much uncertainty. Decision makers may be challenged with satisfying multiple criteria using vague information. Fuzzy multi-criteria decision-making (FMCDM) provides an innovative approach for addressing complex problems featuring diverse decision makers’ interests, conflicting objectives and numerous but uncertain bits of information. FMCDM has therefore been widely applied in construction management. With the increase in information complexity, extensions of fuzzy set (FS) theory have been generated and adopted to improve its capacity to address this complexity. Examples include hesitant FSs (HFSs), intuitionistic FSs (IFSs) and type-2 FSs (T2FSs). This chapter introduces commonly used FMCDM methods, examines their applications in construction management and discusses trends in future research and application. The chapter first introduces the MCDM process as well as FS theory and its three main extensions, namely, HFSs, IFSs and T2FSs. The chapter then explores the linkage between FS theory and its extensions and MCDM approaches. In total, 17 FMCDM methods are reviewed and two FMCDM methods (i.e. T2FS-TOPSIS and T2FS-PROMETHEE) are further improved based on the literature. These 19 FMCDM methods with their corresponding applications in construction management are discussed in a systematic manner. This review and development of FS theory and its extensions should help both researchers and practitioners better understand and handle information uncertainty in complex decision problems.

This chapter attempts to uncover the decision code of Vladimir Vladimirovich Putin, based on 12 decisions he made concerning the Middle East during his third term as president, from 2012 until October 2015.

The study was carried out to understand Putin’s line of thought and decision-making, in light of Putin’s increasing importance throughout the last decade, globally and in the Middle East, in particular. After understanding the decision calculus of Putin, it might also be possible to predict his future decisions concerning the region.

Decision rules can be inferred by analyzing a set of decisions. Analysis of such decisions is made in this chapter using the Applied Decision Analysis (ADA) method that uncovers historic decisions, and aims to peer into the mind of the decision-maker.

The results show the main decision rule for each of Putin’s decisions. The work proves that when it comes to foreign issues, the decision code which leads Putin in his decisions is rational. The results also reveal Putin’s strong desire to promote Russia and himself, while using holistic, maximizing, and compensatory processing, as long as his political survival is not compromised.

The chapter presents an analysis of the decision-making process of leaders on issues of nuclear armament and nuclear disarmament, through four case studies. The first, pertaining armament, is South Africa, with a focus on Pieter Willem Botha, former prime minister and president of South Africa. The second deals with former Libyan President Muammar Gaddafi’s nuclear armament decision. The third case study investigates the decision of former president of South Africa, F. W. De Klerk, on nuclear disarmament. The fourth and final case study uncovers Colonel Muammar Gaddafi’s nuclear disarmament decision.

Using the Applied Decision Analysis (ADA) method historical decisions have been analyzed in this chapter for the purpose of identifying each leader’s ‘decision code’. Specifically, were these decisions based on rational calculations or were they influenced more by cognitive decision processes?

By revealing a ‘decision code’ using a reverse engineering of the decision processes, I conclude that the three leaders placed high importance on security and geopolitics. By analyzing different dimensions and processes that impacted their decision processes, it is evident that while armament decision utilizes the poliheuristic decision rule, disarmament decisions abide by rational calculations.

The garbage can model showed that what appears to be irrational and unpredictable choices can be explained by processes that regulate attention allocation and the availability of choice alternatives. Because attention to alternatives fluctuates, the model generates context-dependent choices: evaluations of alternatives depend on the mix of other alternatives considered. I re-examine the mechanisms by which fluctuating attention can cause context-dependent choices. Using insights from behavioral decision theory I demonstrate how adding fluctuating attention to a well-known model of organizational decision making generates context-dependent choices of a kind that could not be explained by a maximizing process.