bluuebunny/crossref_metadata_2025_split huggingface dataset:
An innovative uncertainty management framework to support contracting for product-service availability
Authors: Ahmet Erkoyuncu John , Roy Rajkumar , Shehab Essam , Kutsch Elmar 
Published: October 2014

Purpose– In the light of challenges experienced in cost estimation at the bidding stage of complex engineering services in the defence industry (e.g. contracting for availability), the purpose of this paper is to present a framework to manage the influence of uncertainty on cost estimates.Design/methodology/approach– The research applied the Soft Systems Methodology and benefitted from interaction with four major organisations in the defence industry through document sharing, semi-structured interviews, workshops, and case studies.Findings– The framework is composed of seven stages to plan, identify, prioritise, classify, and manage cost uncertainties. Through the validation of three case studies some of the key benefits of the framework were realised in project planning, uncertainty visualisation, and capability management.Research limitations/implications– The research has been applied in the defence sector in the UK and focuses on the bidding stage. Further research needs to be applied to confirm that the findings are applicable across industries and across the life cycle.Originality/value– The paper builds on the theory behind risk and uncertainty management and proposes an innovative framework that avoids the assumption of “perfect” knowledge by raising questions about the validity of the input data.
Solution business models based on functional modularity – the case of complex capital goods
Authors: Hellström Magnus 
Published: October 2014

Purpose– The purpose of the paper is to outline a business model for product system solutions that is based on functional modularity.Design/methodology/approach– The paper employs an illustrative case study design. The cases constitute two action research projects in two organisations delivering complex product systems.Findings– The paper illustrates the viability of a movement towards a solution business model based on the use of modular networks and integrated sub-supplies for complex product systems. It develops the idea of suppliers assuming responsibility for larger functional wholes in the delivery of large capital goods.Research limitations/implications– Future research should strive to further validate and falsify the proposed model, and for other product systems too, with a particular focus on their operational phases.Practical implications– The paper outlines a business model based on modularity for both main suppliers and sub-suppliers that wish to extend their scope of delivery and to share responsibility with their networks.Originality/value– The proposed model is in considerable contrast to conventional models in which the main supplier typically assumes most of the responsibility itself.
Reverse use of customer data: implications for service-based business models
Authors: Saarijärvi Hannu , Grönroos Christian , Kuusela Hannu 
Published: October 2014

Purpose
– The purpose of this study is to explore and analyze the implications of reverse use of customer data for service-based business models. In their quest for competitive advantage, firms traditionally use customer data as resources to redesign and develop new products and services or identify the most profitable customers. However, in the shift from a goods-dominant logic toward customer value creation, the potential of customer data for the benefit of the customer, not just the firm, is an emerging, underexplored area of research.

Design/methodology/approach
– Business model criteria and three service examples combine to uncover the implications of reverse use of customer data for service-based business models.

Findings
– Implications of reverse use of customer data for service-based business models are identified and explored. Through reverse use of customer data, a firm can provide customers with additional resources and support customers’ value-creating processes. Accordingly, the firm can move beyond traditional exchanges, take a broader role in supporting customers’ value creation and diversify the value created by the customer through resource integration. The attention shifts from internal to external customer data usage; customer data transform from the firm’s resource to the customer’s, which facilitates the firm’s shift from selling goods to supporting customers’ value creation.

Originality/value
– Reverse use of customer data represent a new emerging research phenomenon; their implications for service-based business models have not been explored.
The effects of anticipatory emotions on service satisfaction and behavioral intention
Authors: Koenig-Lewis Nicole , Palmer Adrian 
Published: October 2014

Purpose
– This paper aims to contribute critical discussion about the role of expectations and anticipation in subsequent satisfaction by incorporating anticipated emotions into a model to measure satisfaction. Emotions have provided a foundation for many causative models in marketing, notably advertising, brand development and buyer behavior. However, models of customer satisfaction have been dominated by cognition rather than affect which has been under-researched in this context. Furthermore, a significant omission in the current literature is the impact of affective expectations.

Design/methodology/approach
– A series of hypotheses relating anticipated and experienced emotions to satisfaction and behavioral intention are tested in the context of a relatively high involvement, hedonistic service encounter in a longitudinal quantitative study involving 304 participants.

Findings
– The results indicate that the emotions expressed by respondents when thinking about the forthcoming event were significantly associated with post-experience emotions. Furthermore, it was observed that positive emotions had no effect on satisfaction, but there was a significant effect of negative emotions on (dis)satisfaction.

Practical implications
– The results indicate a complex relationship between emotions, satisfaction and behavioral intention. Implications for management during the pre-consumption phase are discussed, including the benefits to be gained from pre-consumption communication that seeks to engage with consumers by arousing an anticipatory affect.

Originality/value
– The paper makes a methodological contribution by using longitudinal data rather than retrospectively collected data of emotions, and uses an actual service encounter rather than a hypothetical scenario which has limited many previous studies of emotions.
Brand knowledge transfer via sponsorship in the financial services industry
Authors: Yang Sujin , Ha Sejin 
Published: October 2014

Purpose
– The main aim of this study is to develop a framework of brand knowledge transfer through sponsorship for sponsors within an insurance industry in South Korea. To this end, this study explores: how pre-event brand knowledge and perceived sponsor–event fit contribute to post-event brand knowledge and if and how consumers’ attitudes toward insurance agents play a role as a moderator in the model. Brand knowledge is examined in terms of brand awareness and corporate image.

Design/methodology/approach
– Using a paper-and-pencil survey method, data were gathered from consumers (n = 330) who participated in a parenting education program in which an insurance company partnered with a baby food manufacturer in South Korea. Hypotheses were tested using structural equation modeling.

Findings
– The results confirm the occurrence of brand knowledge transfer for sponsors via sponsorship. Pre-event brand awareness and corporate image affect post-event brand awareness and corporate image, respectively, while perceived event–sponsor fit affects both attributes of post-event brand knowledge. Further, consumer attitude toward sales agents partially moderates brand knowledge transfer.

Research limitations/implications
– Because the data focused on a single segment of sponsorship events in the financial service industry in South Korea, the results must be carefully applied to other forms of sponsorship, industries and cultures.

Practical implications
– This study highlights the effectiveness of sponsorship in the financial services industry. By aligning sponsorship events with sponsors’ characteristics and managing their brand knowledge, companies can maximize brand knowledge transfer contributing to brand equity.

Originality/value
– This study identifies consumers’ pre-extant attitudes toward sales agents as a moderator that controls brand knowledge transfer, the pre-event and post-event corporate image relationship, specifically.
The role of knowledge management in creating a culture of learning
Authors: Haak-Saheem Washika , K. Darwish Tamer 
Published: October 2014

Purpose– The purpose of this paper is to empirically investigate the role of knowledge management (KM) in creating a culture of learning and creativity in a non-western context. It further seeks to stimulate broader empirical and theoretical discussions on this topic.Design/methodology/approach– As little is known about KM approaches in the regional context, the qualitative approach was chosen as an appropriate method of studying this phenomenon. The openness of the qualitative method enables data collection that is not constrained by predetermined categories of analysis, and thus allows for a level of depth and detail that quantitative methods cannot provide. The empirical investigation is based on semi-structured interviews and conducted in the KM department of Dubai Municipality.Findings– Results indicate that the impact of KM on organisational learning (OL) is below expectations. Written official statements or policies are not sufficient to enforce learning and creativity. Notably, institutional changes at the extreme produce conditions that might reduce the rate of OL. The role of KM is to develop context-specific strategies to embrace learning and creativity.Research limitations/implications– The developmental process as it unfolds in Dubai has hardly been addressed by academics. However, because of the absence of research related to the regional context in general and KM and OL in particular the authors recommend future researchers to explore the impact of institutional settings on managing knowledge and learning. Researchers can identify in this regard the complexity of an emerging economy and attempt to develop a more fine-tuned understanding of its relationship to KM and OL.Practical implications– In light of the institutional structures, the findings on KM and OL provide managers guidance in making decisions under extremely uncertain institutional settings.Originality/value– KM and OL have been discussed within organisational and management research; however, the majority of these studies adopt a western-based perspective. This paper contributes to the understanding of the relationship between KM and OL in an emerging market setting, which has so far received insufficient attention.
Managing knowledge and going global at FragraAroma
Authors: Gupta Nakul , P. Jaiswal Mahadeo , Pardasani Rupali 
Published: October 2014

Purpose
– The purpose of this paper is to help students understand how companies combine and leverage their existing knowledge capabilities in order to build strategic advantage for the company. The case also throws some light on the opportunities and challenges faced by SME's of emerging markets in going international in turbulent macroeconomic scenarios.

Design/methodology/approach
– The case has been written for the purpose of teaching and class discussion. Interviews with protagonist provided the primary data and published reports and archives of the company provided the secondary data for the case.

Findings
– After the class discussion, students will be able to figure out how SME's can best leverage their existing knowledge base, efficiently manage that knowledge base and accurately assess the impact of these knowledge management activities for international expansion.

Originality/value
– This is among the first few cases in the area of knowledge management from the perspective of SME's in emerging markets in the fragrance and other allied industries.
The complexity and the case method
Authors: Grandon Gill T. 
Published: October 2014

Purpose– The purpose of this paper is to propose a framework that uses complexity as a means of better understanding the role that case studies can play in the classroom and in building bridges between research and practice.Design/methodology/approach– The paper synthesizes complexity theory and the practical classroom and case writing experiences of the author into a framework.Findings– A narrow view of the impact of case studies severely limits their widespread adoption. Rather than treating a case study as a document of very limited value to an academic career, the author needs to recognize their role in building relationships between research and practice. Through these relationships, opportunities for students and two-way flows of knowledge between academia and practice can be achieved.Research limitations/implications– The framework developed assumes that domain of study is complex – involving many interacting elements taking place in a context where an objectively “right” or “best” answer is unlikely to be realized. It is less clear that it is applicable to situations where optimal procedures are available and can be taught or learned.Practical implications– A key implication of the framework is that separating the use of case studies in the classroom (i.e. case facilitation) from the development of case studies in the field (i.e. case writing) can greatly diminish their value.Social implications– The proposed framework argues for greater interaction between the academic and practitioner communities.Originality/value– The paper offers a comprehensive perspective on cases that is rarely expressed. It should be of particular value to faculty and administrators seeking to justify the development and use of case studies.
Improving Value for Money in Italian Project Finance
Authors: Moro Visconti Roberto 
Published: October 2014

Purpose– The purpose of this paper is to detect how Value for Money (VfM) in Italian Project Finance (PF) investments can be enhanced and challenging criticalities minimized, with a synergistic interaction of macroeconomic, legal and institutional actions.Design/methodology/approach– Analysis of VfM quantitative key drivers, within a public-private partnership (PPP) framework with specific reference to a recession context, with infrastructural capital rationing implications. Empirical evidence is given by an Italian PF healthcare model, testing the impact of legal and macroeconomic changes.Findings– Deleverage, ignited byW-shaped recession, disinflates PPP investments, so forcing to innovative and penniless solutions. Unreliable and short-sighted legislation and consequent unfriendly business climate may frighten investors, so decreasing competition and VfM.Research limitations/implications– VfM sensitivity to macroeconomic and legal/institutional parameters is too wide and capriciously erratic to be comprehensively modeled. Tips for further research include pro-growth tax and budgetary policies, risk minimization issues and other synergistic targets.Practical implications– Guidance to regulators to fine tune legal and institutional tools, so as to create a stable, business friendly environment. Recessions may be softened by sensitive policymaking, or exacerbated by short-sighted ignorance and lack of strategic focus.Originality/value– Unprecedented analysis of legal and macroeconomic changes on VfM in Italian PF investments, with original tips for VfM optimization, in a comprehensive PPP framework.
Engaging with a Laclau & Mouffe informed discourse analysis: a proposed framework
Authors: Walton Sara , Boon Bronwyn 
Published: October 2014

Purpose
– The purpose of this paper is to present an analytical method through which a political analysis of intra and inter-organizational conflicts may be conducted.

Design/methodology/approach
– The iterative method of data analysis the paper presents is based on a consolidation of work using Laclau and Mouffe’s discourse theory across both management and organization and social science disciplinary domains.

Findings
– While the politically orientated discourse theory of Laclau and Mouffe has begun to be used by management and organization researchers, little guidance is available for how to actually conduct the analysis of data using this discourse approach. The method the paper proposes involves making explicit an analytical process for reading available textual data.

Originality/value
– The value of this paper is primarily for management and organization researchers who are attracted to discourse theory but feel intimidated or confused about how to operationalize this theory into data analytic practice.
Do emotions affect insurance demand?
Authors: Brighetti Gianni , Lucarelli Caterina , Marinelli Nicoletta 
Published: October 2014

Purpose– The purpose of this paper is to explore how psychological variables are related to real-life insurance consumption. Specifically, the authors focus on whether emotions and psychological traits can improve the predictability of insurance demand, taking traditional socioeconomic variables under control.Design/methodology/approach– The approach used was in-person survey, based on a traditional questionnaire, the Barratt Impulsiveness Scale and a psycho-physiological task (Iowa Gambling Task (IGT)).Findings– A selective role of emotions and psychological traits has been proven to exist when comparing different insurance policies. Life and casualty insurance are affected by emotional arousal to losses; indemnity insurance by fear of the unknown, whereas health insurance by impulsivity.Research limitations/implications– The findings indicate that individual insurance consumption may be amplified by not cognitive components. Future research should concentrate on testing the effect of further psychological traits related to pure risk coverage.Practical implications– The results may be of interest for insurers in order to know what drives insurance demand with respect to different kinds of pure risks.Social implications– For policymakers, it is important to understand how psychological factors affect consumer behavior in order to incorporate such perspective into modern insurance policy measures. An analysis of such factors may also increase the self-consciousness of insurance consumers and enrich consumer self-protection.Originality/value– The authors propose an interdisciplinary approach to analyze insurance demand and test different kinds of insurance coverage, suggesting not homogenous hedging behaviors in relation to specific ambiguous events.
On the impact of market mergers over herding: evidence from EURONEXT
Authors: Andrikopoulos Panagiotis , Albin Hoefer Andreas , Kallinterakis Vasileios 
Published: October 2014

Purpose– The purpose of this paper is to present and empirically test for the first time the hypothesis that herding in a market increases following the market's merger in an exchange group.Design/methodology/approach– The hypothesis is tested empirically in EURONEXT's four European equity markets (Belgium, France, the Netherlands and Portugal) on the premise of the Hwang and Salmon (2004) measure which allows us insight into the significance, structure and evolution of market herding. Tests are conducted for each market for the period prior to and after its merger into EURONEXT, controlling for a series of variables (market conditions, common risk factors, size) to gauge the robustness of the findings.Findings– Results indicate that, with the exception of Portugal, herding grows in significance, yet declines in momentum post-merger. The authors ascribe the findings to EURONEXT's enhanced transparency (which makes it easier for investors to observe their peers’ trades, thus allowing them to infer and free-ride on their information) and its fast-moving informational dynamics that render herding movements shorter-lived. These results are robust when controlling for various market states and common risk factors, with deviations being observed when controlling for size and market volatility.Originality/value– The study presents results for the first time on the impact of exchange mergers on herd behavior. The authors believe these to constitute useful stimulus for further research on the issue and bear important implications for regulators/policymakers in view of the ongoing proliferation of exchange mergers that has been underway since the 1990s.
In‐planta sporulation phenotype: a major life history trait to understand the evolution of Alnus‐infective Frankia strains
Authors: Pozzi Adrien C. , Bautista‐Guerrero Hector H. , Nouioui Imen , Cotin‐Galvan Laëtitia , Pepin Régis , Fournier Pascale , Menu Frédéric , Fernandez Maria P. , Herrera‐Belaroussi Aude 
Published: October 2014

SummaryTwo major types of Frankia strains are usually recognized, based on the ability to sporulate in‐planta: spore‐positive (Sp+) and spore‐negative (Sp−). We carried out a study of Sp+ and Sp− Frankia strains based on nodules collected on Alnus glutinosa, Alnus incana and Alnus viridis. The nodules were phenotyped using improved histology methods, and endophytic Frankia strain genotype was determined using a multilocus sequence analysis approach. An additional sampling was done to assess the relation between Sp+ phenotype frequency and genetic diversity of Frankia strains at the alder stand scale. Our results revealed that (i) Sp+ and Sp− Alnus‐infective Frankia strains are genetically different even when sampled from the same alder stand and the same host–plant species; (ii) there are at least two distinct phylogenetic lineages of Sp+ Frankia that cluster according to the host–plant species and without regard of geographic distance and (iii) genetic diversity of Sp+ strains is very low at the alder stand scale compared with Sp− strains. Difference in evolutionary history and genetic diversity between Sp+ and Sp− Frankia allows us to discuss the possible ecological role of in‐planta sporulation.
Estimation of Binary Response Models With Endogenous Regressors
Authors: Kang Changhui , Lee Myoung‐jae 
Published: October 2014

AbstractThis paper reviews six approaches to binary response (y1) structural forms with an endogenous regressory2: (i) the two‐stage least squares estimator‐like substitution approach, (ii) the control function approach, (iii) the system reduced‐form approach, (iv) the artificial instrumental regressor approach, (v) the transformed‐response instrumental variable estimator approach and (vi) the classical maximum likelihood estimator approach. The applicability of the six methods differs greatly, depending on whethery2is a continuously distributed random variable or a discrete transformation of a latent. We conduct a real‐data‐based simulation study, and provide an empirical illustration. Our overall recommendation is using (i) and (ii), as the others have undesirable features such as analytic complexity in (iii), computational difficulty in (iv) and (vi), and poor finite‐sample performance in (v).