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Crowdfunding (CF) is a digital-financial innovation that, bypassing credit crisis, bank system rigidities and constraints of the capital market, is allowing new ventures and established companies to get the needed funds to support innovations. After one decade of research, mainly focused on relations between variables and outcomes of the CF campaign, the literature shows methodological lacks about the study of its overall behavior. These reflect into a weak theoretical understanding and inconsistent managerial guidance, leading to a 27% success ratio of campaigns. To bridge this gap, this paper embraces a “complex system” perspective of the CF campaign, able to explore the system's behavior of a campaign over time, in light of its causal loop structure.

By adopting and following the document model building (DMB) methodology, a set of 26 variables and mutual causal relations modeled the system “Crowdfunding campaign” and a data set based on them and crafted to model the “Crowdfunding campaign” with a causal loop diagram. Finally, system archetypes have been used to link the causal loop structure with qualitative trends of CF's behavior (i.e. the raised capital over time).

The research brought to 26 variables making the system a “Crowdfunding campaign.” The variables influence each other, thus showing a set of feedback loops, whose structure determines the behavior of the CF campaign. The causal loop structure is traced back to three system archetypes, presiding the behavior in three stages of the campaign.

The value of this paper is both methodological and theoretical. First, the DMB methodology has been expanded and reinforced concerning previous applications; second, we carried out a causation analysis, unlike the common correlation analysis; further, we created a theoretical model of a “Crowdfunding Campaign” unlike the common empirical models built on CF platform's data.

In this study the authors aim to outline new ways of information extraction for automated valuation models, which in turn would help to increase transparency in valuation procedures and thus contribute to more reliable statements about the value of real estate.

The authors hypothesize that empirical error in the interpretation and qualitative assessment of visual content can be minimized by collating the assessments of multiple individuals and through use of repeated trials. Motivated by this problem, the authors developed an experimental approach for semi-automatic extraction of qualitative real estate metadata based on Comparative Judgments and Deep Learning. The authors evaluate the feasibility of our approach with the help of Hedonic Models.

The results show that the collated assessments of qualitative features of interior images show a notable effect on the price models and thus over potential for further research within this paradigm.

To the best of the authors’ knowledge, this is the first approach that combines and collates the subjective ratings of visual features and deep learning for real estate use cases.

In the last years the penetration of enterprise resource planning (ERP) systems within small, medium and large organizations increased steadily. Organizations are forced to adapt their systems and perform ERP upgrades in order to react to rapidly changing business environments, technological enhancements and rising pressure of competition. The purpose of this paper is to focus on the critical success factors for such projects.

The paper is based on a literature review and qualitative interviews with CEOs, CIOs, ERP consultants and project managers who recently carried out ERP upgrade projects in their respective organizations.

This paper identifies 14 critical success factors for ERP upgrade projects. Amongst others, effective project management, external support, the composition of the ERP team and the usage of a multiple system landscape play a key role for the success of the ERP upgrade. Furthermore, a comparison to the critical success factors for ERP implementation projects was conducted, and even though there are many similarities between these types of projects, several differences emerged.

ERP upgrade projects have a huge impact on organizations, but their success and antecedents for it are currently under-researched.

This paper aims to develop a performance measure for Islamic banks (IBs) by harmonizing related studies. Furthermore, this work uses the developed yardstick to analyze the performance of a sample of 11 IBs from across different countries.

This paper uses the mix-mode method. The qualitative approach is engaged first to construct the IBs performance yardstick. Following this, the quantitative approach is applied through the use of the performance yardstick to measure the sample’s performance.

This study develops a maqāṣid-based performance yardstick adapted from previous works. The developed model in this study is called an integrated maqāṣid al-Sharīʿah--based performance measure (IMSPM). By using this performance measure, the present paper finds that the sample performed highest on the objective of nafs (self) over the three-year period. In addition, this study identifies the information which best indicates the sample’s performance during the analysis.

This paper uses the sample’s annual reports. The analysis is thus limited to informational disclosure.

Islamic banking and financial institutions may use the IMSPM to communicate a measurable report on their promotion of the maqāṣid al-Sharīʿah (objectives of Islamic law).

The evidence from 11 IBs is indicative of their efforts to realize maqāṣid al-Sharīʿah in the banking industry. This point may best challenge the practice of stigmatizing IBs for not being in line with the Sharīʿah (Islamic law) or of imitating conventional banks.

The novelty of this study lies in two points. First, this study harmonizes previous works to integrate financial and religious measures in a single yardstick. Second, by using the developed standard, this study offers a fresh insight into the global IBs’ performance, represented by 11 IBs worldwide.

Although it is well established in the academic literature that entrepreneurs share common traits, there has been limited research dedicated to evaluating psychographic profiles of the self-employed. Using the Nominal Group Technique, the authors gleaned insight from a panel of experts in an effort to segment the self-employed based on personality traits and the benefits they receive from an entrepreneurial career. The findings show that self-employed individuals can be classified into four distinct segments: Exemplars, Generals, Moms and Dads, and Altruists. Each group derives different benefits from self-employment. Understanding these benefits can greatly assist entrepreneurship educators and marketers of small business oriented products and services.

We illustrate the potential of diaries for advancing scholarship on organization studies and grand challenges. Writing personal diaries is a time-honored and culturally sanctioned way of animating innermost thoughts and feelings, and embodying experiences through self-talk with famous examples, such as the diaries written by Anne Frank, Andy Warhol, or Thomas Mann. However, the use of diaries has long been neglected in organization studies, despite their historical and societal importance. We illustrate how different forms of analyzing diaries enable a “deep analysis of individuals’ internal processes and practices” (Radcliffe, 2018) which cannot be gleaned from other sources of data such as interviews and observations. Diaries exist in different forms, such as “unsolicited diaries” and “solicited diaries” and have different purposes. We evaluate how analyzing diaries can be a valuable source to illuminate the innermost thoughts and feelings of people at the forefront of grand challenges. To exemplify our arguments, we draw on diaries written by medical professionals working for Doctors Without Borders as part of our empirical research project conducted in extreme contexts. We show the value of unsolicited diaries in revealing people’s thought world that is not apprehensible from other modes of communication, and offer a set of practical guidelines on working with data from diaries. Diaries serve to enrich our methodological toolkit by capturing what people think and feel behind the scenes but may not express nor display in public.