bluuebunny/crossref_metadata_2025_split huggingface dataset:
The performance generating limitations of the relationship-banking model in the digital era – effects of customers' trust, satisfaction, and loyalty on client-level performance
Authors: Eriksson Kent , Hermansson Cecilia , Jonsson Sara 
Published: February 2020

PurposeThis paper investigates the viability of the relationship-oriented business model. Specifically, it examines the effects of bank customers' satisfaction, loyalty, and trust in bank advisors on two client-level performance measures; client-level non-interest revenue, and client-level revenue on net interest spread. It further investigates how effects are moderated by differences in clients' risk tolerance and financial literacy.Design/methodology/approachThe findings are based on analyses of a data set that combines survey data (collected from 13,525 bank clients in 2013) with bank record data from each respondent. The cross sectional data is analyzed using OLS-regression and structural equation modeling.FindingsOverall, the findings are that the relationship banking model generates non-interest revenue, but not revenue on net interest spread. In more detail, findings show that trust has a positive direct effect on client-level non-interest revenue. Furthermore, trust mediates the entire effect of satisfaction and loyalty on client-level non-interest revenue. Customer satisfaction and loyalty do not lead to enhanced client-level non-interest revenue if there is little trust in bank advisors. Findings further show that the relevance of trust for non-interest revenue is higher for clients with high risk tolerance and high financial literacy. Satisfaction, loyalty, and trust have no effect, however, on client-level revenue on net interest spread.Originality/valueWhile previous literature mainly has used subjective intentions (e.g., repurchase behavior) as operationalization of performance, this paper combines subjective survey data and objective performance data, allowing the investigation of how the customer relationship model affects actual performance. Furthermore, the paper investigates the relational banking model's effect on non-interest and net interest spread revenue, and we show that the relational banking model generates only non-interest revenue, and not net interest spread revenue. The fine-grained client-level data also allows the investigation on how the effect of trust on client-level performance differs among client groups with different cognitive characteristics (i.e., risk tolerance and financial literacy).
A gender- and class-sensitive explanatory model for rural women entrepreneurship in Turkey
Authors: Kurtege Sefer Bengu 
Published: February 2020

Purpose
The purpose of this paper is to offer a new gender- and class-sensitive framework for research on rural women entrepreneurship by focusing on the women’s agricultural cooperatives in Turkey. Although these cooperatives have been promoted as ideal bottom-to-top organizations to integrate women into economy as entrepreneurs, there has been significant decline in their numbers. This paper tackles with this contradictory situation and intends to offer an alternative research framework on the viability of the women’s agricultural cooperatives in Turkey.

Design/methodology/approach
The paper is built on a critical assessment of the existing literature. It argues that a framework that brings together macro-, meso- and micro-factors will provide a springboard to unfold the gendered processes integral to rural female entrepreneurship in Turkey. Drawing on intersectional theory, the multilayered factors which operate to rural women’s (dis)advantages through the cooperatives are unfolded as policymaking, policy implementation and everyday experiences.

Findings
For policymakers and implementers, it points out the need for a holistic and integrated understanding of rural female entrepreneurship and for re-formulation of policies at the state level. For rural women, it draws attention to the measures required to be taken at the cooperative level to overcome inequalities.

Originality/value
This paper is original in making explicit social, political and economic embeddedness of female entrepreneurship in rural Turkey.
Ordering drivers of green supply chain management practices in Indian construction industry
Authors: Singh Arpit , Misra Subhas C. 
Published: February 2020

PurposeIncreasing pressure from government and consumer to be environmentally conscious has led firms to focus their attention on the assessment and controlling the adverse impacts their operations have on the environment. The current study focuses on identifying the factors and their relative importance in the implementation of Green Supply Chain Management (GSCM) process.Design/methodology/approachThe factors influencing the GSCM are ranked from most important to least important using a novel method of ranking relying on rough sets theory. Opinions on the importance of the factors are gathered from the experts from industrial, environmental, and societal domains.FindingsInvolvement of government in promoting the importance of green practices in organizations and societal insistence of being environmentally conscious are the factors that demonstrated maximum potential in establishing a strong GSCM framework.Practical implicationsThis study aids the management to discover important factors for the establishment of a strong GSCM framework. This encourages the management to follow and apply green practices in operations. Also, it sheds light on the current situation of environmental awareness in the Indian construction industries.Originality/valueThis paper adds to the existing literature on identification and ordering of factors for GSCM by introducing a novel method of ranking based on Rough set approach. The method includes the preference information of the decision makers to yield the final ranking of the factors.
Total risk evaluation framework
Authors: Kosztyán Zsolt Tibor , Csizmadia Tibor , Kovács Zoltán , Mihálcz István 
Published: February 2020

PurposeThe purpose of this paper is to generalize the traditional risk evaluation methods and to specify a multi-level risk evaluation framework, in order to prepare customized risk evaluation and to enable effectively integrating the elements of risk evaluation.Design/methodology/approachA real case study of an electric motor manufacturing company is presented to illustrate the advantages of this new framework compared to the traditional and fuzzy failure mode and effect analysis (FMEA) approaches.FindingsThe essence of the proposed total risk evaluation framework (TREF) is its flexible approach that enables the effective integration of firms’ individual requirements by developing tailor-made organizational risk evaluation.Originality/valueIncreasing product/service complexity has led to increasingly complex yet unique organizational operations; as a result, their risk evaluation is a very challenging task. Distinct structures, characteristics and processes within and between organizations require a flexible yet robust approach of evaluating risks efficiently. Most recent risk evaluation approaches are considered to be inadequate due to the lack of flexibility and an inappropriate structure for addressing the unique organizational demands and contextual factors. To address this challenge effectively, taking a crucial step toward customization of risk evaluation.
Non-traditional marketplaces in the retail apocalypse: investigating consumers' buying behaviours
Authors: Childs Michelle , Blanchflower Tiffany , Hur Songyee , Matthews Delisia 
Published: February 2020

PurposeRevolutionary changes are happening in retail, and the term “retail apocalypse” reflects these dramatic changes. As a growing number of traditional brick-and-motor retailers are closing, the aim of this study is to understand and test the dimensions of specific store and consumer factors that are driving this shift towards non-traditional retail marketplaces (e.g. pop-up stores, fashion trucks), factors that drive consumer loyalty (i.e. re-patronage intentions) and the mediating role of shopping enjoyment in this context.Design/methodology/approachThis study used a consumer panel (n = 237) of previous shoppers of non-traditional retailers. Utilising exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), this study identifies possible store and consumer factors that are associated with consumers' patronage of non-traditional retailers. Based on results, we propose a model for non-traditional retail shopping behaviour.FindingsEFA revealed that quality of personal experience and consumer curiosity were dominant factors explaining variance. Key findings revealed that in-store factors (in-store ambiance, quality and value of products) and consumer factors (consumer curiosity, quality consciousness) influence consumers' re-patronage intentions. This highlights the importance of maintaining quality elements in shopping experiences. Shopping enjoyment was found to mediate relationships, indicating that while not all factors directly impact loyalty, it can be enhanced through pleasurable shopping experiences.Practical implicationsOur findings help retailers understand which factors are driving this dramatic change in consumer behaviour so they may develop better strategies to attract and retain customers. Retailers need to highlight product quality and in-store atmosphere and spark consumers' quality consciousness and curiosity to enhance consumer loyalty.Originality/valueDespite the rise in popularity, this is the first study to investigate non-traditional retailers comprehensively.
Cultural innovation, aspirations and success among smallholders in former homelands of the Eastern Cape province of South Africa
Authors: Zantsi Siphe , Mack Gabriele , Mann Stefan 
Published: February 2020

PurposeAfter unsuccessful attempts of South African governments to carry out a land reform that distributes farmland more justly, this study aims to undertake a stronger segmentation of potential beneficiaries for a better targeting of future reforms.Design/methodology/approachA theoretical model has been developed along the axes of cultural innovation and aspirations that identifies the segment of current smallholders who would most likely relocate to become commercial farmers in the future. A survey among smallholders in the Eastern Cape province of South Africa confirms the approach.FindingsA number of indicators can be identified, particularly for cultural innovation, that predict willingness to relocate to a region where commercial farms can be managed.Originality/valueThe importance of cultural innovation has been neglected both in theoretical frameworks and in practical concepts of land reform.Peer reviewThe peer review history for this article is available at:https://publons.com/publon/10.1108/IJSE-05-2018-0226
An approach to support the construction of adaptive Web applications
Authors: Vasconcelos Leandro Guarino , Baldochi Laercio Augusto , Santos Rafael Duarte Coelho 
Published: February 2020

Purpose
This paper aims to presents Real-time Usage Mining (RUM), an approach that exploits the rich information provided by client logs to support the construction of adaptive Web applications. The main goal of RUM is to provide useful information about the behavior of users that are currently browsing a Web application. By consuming this information, the application is able to adapt its user interface in real-time to enhance the user experience. RUM provides two types of services as follows: support for the detection of struggling users; and user profiling based on the detection of behavior patterns.

Design/methodology/approach
RUM leverages the previous study on usability evaluation to provide a service that evaluates the usability of tasks performed by users while they browse applications. This evaluation is based on a metric that allows the detection of struggling users, making it possible to identify these users as soon as few logs from their interaction are processed. RUM also exploits log mining techniques to detect usage patterns, which are then associated with user profiles previously defined by the application specialist. After associating usage patterns to user profiles, RUM is able to classify users as they browse applications, allowing the application developer to tailor the user interface according to the users’ needs and preferences.

Findings
The proposed approach was exploited to improve user experience in real-world Web applications. Experiments showed that RUM was effective to provide support for struggling users to complete tasks. Moreover, it was also effective to detect usage patterns and associate them with user profiles.

Originality/value
Although the literature reports studies that explore client logs to support both the detection of struggling users and the user profiling based on usage patterns, no existing solutions provide support for detecting users from specific profiles or struggling users, in real-time, while they are browsing Web applications. RUM also provides a toolkit that allows the approach to be easily deployed in any Web application.
Collaborating with technology-based autonomous agents
Authors: Seeber Isabella , Waizenegger Lena , Seidel Stefan , Morana Stefan , Benbasat Izak , Lowry Paul Benjamin 
Published: February 2020

PurposeThis article reports the results from a panel discussion held at the 2019 European Conference on Information Systems (ECIS) on the use of technology-based autonomous agents in collaborative work.Design/methodology/approachThe panelists (Drs Izak Benbasat, Paul Benjamin Lowry, Stefan Morana, and Stefan Seidel) presented ideas related to affective and cognitive implications of using autonomous technology-based agents in terms of (1) emotional connection with these agents, (2) decision-making, and (3) knowledge and learning in settings with autonomous agents. These ideas provided the basis for a moderated panel discussion (the moderators were Drs Isabella Seeber and Lena Waizenegger), during which the initial position statements were elaborated on and additional issues were raised.FindingsThrough the discussion, a set of additional issues were identified. These issues related to (1) the design of autonomous technology-based agents in terms of human–machine workplace configurations, as well as transparency and explainability, and (2) the unintended consequences of using autonomous technology-based agents in terms of de-evolution of social interaction, prioritization of machine teammates, psychological health, and biased algorithms.Originality/valueKey issues related to the affective and cognitive implications of using autonomous technology-based agents, design issues, and unintended consequences highlight key contemporary research challenges that allow researchers in this area to leverage compelling questions that can guide further research in this field.
Human capital in public research laboratories: a method proposal for assessing actual and target scores
Authors: El Kadiri Boutchich Driss 
Published: February 2020

PurposeThis work aims to propose an alternative method of human capital calculation for research laboratories of public university, taking into account some drawbacks of the methods currently applied in this field.Design/methodology/approachThis method is implemented via a linear program extracted from Data Envelopment Analysis based on slack movement. This is the formulation of Copper et al. (2000), which is used as the starting point for developing the proposed method through important transformations.FindingsThe proposed method is supported by an illustration related to a Moroccan public university. This illustration showed that 57 per cent of the laboratories and all the research activities that they perform are in deficit with respect to target scores.Research limitations/implicationsThe proposed method has technical limitations related to scores equal to 1 and to variables when those are numerous. To solve them, it is possible to use peer benchmarking system for the first limitation, and methods of regrouping the variables when those are numerous for the second limitation. Equally, the proposed method does not associate slack with important factors like governance and the impact analysis of research on innovation, competitiveness, and societal aspects. Likewise, it does not use the slack to measure individual efficiency at the same laboratory. Future research can fill these gaps.Practical implicationsThis work allows making appropriate budgetary and research policy within university, through budgeting process and management control by using raw and adjusted target values as well as actual ones. Also, the highlighting of the excessive slacks leads the university to take actions to reduce them, according to the most loss-making research activities.Originality/valueThe proposed method is original, since it fills a deficit in terms of human capital target values calculation and of the slack movement concept in relation to the efficient frontier. Additionally, it transforms the Data Envelopment Analysis program into a program that eliminates the slacks linked to the inputs, the radial movement related to the outputs and treats only the outputs and slacks related to these outputs.
Why do network organizations fail?
Authors: Tunisini Annalisa , Marchiori Michela 
Published: February 2020

Purpose
The purpose of this paper is to examine network failures and the main reasons why network organizations, intentionally developed by a group of actors to pursue specific goals, become unfruitful and fail in their goals and expectations of creating collective value. The goal of this paper is thus to contribute a better understanding of the reasons network organizations encounter problems in their dynamics that prevent them from reaching the expected outcomes.

Design/methodology/approach
The study is firstly based on a literature review finalized to identify the main variables considered as potentially impacting on network failures. Secondly, the paper is based on a survey conducted on 189 strategic networks that highlighted difficulties in achieving their goals. An analysis of the 24 questionnaires returned generated the results discussed. The empirical study concerns strategic networks intentionally created and signed by Italian SMEs according to a specific law designed to promote the development of inter-firm cooperation (“network contracts”).

Findings
The results of the research highlight the role of specific key items related to individual, structural, legitimacy, interaction and governance variables in explaining failures in network organizations. According to the data, failure can occur immediately before the network start-up, resulting in a blocked network or in a subsequent developmental stage, resulting in a dormant network. The empirical research demonstrated that the items affecting network failure differ between blocked and dormant networks. The authors explain such differences, considering them according to the expected goals declared by the two different types of networks.

Originality/value
The question of why networks fail is relevant in times of disruption and digitalization when new forms of organization are needed to link businesses and various stakeholders and thereby develop innovative and sustainable ideas for an entrepreneurial future. However, very few studies have examined network failure. The study contributes to this field of research by investigating the dynamics of networks intentionally developed to reach shared goals. The findings can be useful to both companies that decide to start up a strategic network and the policymakers that promote, finance and monitor inter-firm collaboration.
Time-constrained interactions in public-private collaboration projects. The case of ENABLE
Authors: Kronlid Carl , Baraldi Enrico 
Published: February 2020

Purpose
This paper aims to focus on time-constrained interactions involving industry and public actors, mainly universities, conducting research. This kind of interaction has become increasingly important to develop new pharmaceuticals, especially antibiotics. The proposed theoretical frame relies on industrial marketing and purchasing’s interactive perspective on inter-organizational relationships and especially the activities, resource, actors model, combined with key concepts on temporary organizing and project management. This study identifies the temporality and time constraints imposed by this project on public–private interactions, specific coordination tools used to create such temporality and time constraints and their consequences, including positive and negative effects for the interacting parties.

Design/methodology/approach
The study builds on a single in-depth qualitative case study of a major antibiotics R&D collaboration project called ENABLE.

Findings
For negative consequences, this model includes the need for constantly rebuilding trust due to fast turnover of actors, difficulties in combining resources as efficiently as possible, resource constraints, bottlenecks and neglect of some activities, such as publishing, which are normally pivotal for universities. Despite these problematic consequences of temporality, resources are rapidly made available and new competencies learned quickly. Another positive effect is the possibility to achieve complex adaptations of resources and activities even in short time frames. Importantly, projects can act as a springboard for the parties to continue collaboration and in the long term develop a continuous business relationship.

Originality/value
Based on the findings the authors develop a model of time-constrained inter-organizational interaction between public and private organizations.
Shared information practices on Facebook
Authors: Mansour Ameera 
Published: February 2020

PurposeThis study aims to develop an in-depth understanding of the underlying dynamics of an emergent shared information practice within a Facebook group, and the resources the group develops to sustain this practice.Design/methodology/approachIn-depth semi-structured interviews were carried out with twenty members from the group. The findings are based on comparative analysis combined with narrative analysis and were interpreted using theories of situated learning and Community of Practice.FindingsThe study shows that although members of this multicultural mothers group endorsed different, sometimes opposing parenting practices, the group had to find common ground when sharing information. Managing these challenges was key to maintaining the group as an open information resource for all members. The group produced a shared repertoire of resources to maintain its activities, including norms, rules, shared understandings, and various monitoring activities. The shared online practice developed by the community is conceptualised in this article as an information practice requiring shared, community-specific understandings of what, when, and how information can or should be sought or shared in ways that are valued in this specific community. The findings show that this shared information practice is notstaticbut continually evolves as members negotiate what is, or not, important for the group.Originality/valueThe research provides novel insights into the underlying dynamics of the emergence, management, and sustainability of a shared information practice within a contemporary mothers group on Facebook.