bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cultural dynamics and tensions when applying design thinking for improving health-care quality
Authors: Boström Jonas , Hillborg Helene , Lilja Johan 
Published: January 2021

Purpose
The purpose of this paper is to contribute knowledge concerning the dynamics and potential cultural tensions that occur when applying user involvement and design thinking (DT) for improving quality in a health-care setting.

Design/methodology/approach
This paper is based on a case study following a quality improvement (QI) project in a medium-sized Swedish county council in the field of somatic care. The project involved eight health-care professionals, one designer, four patients and two relatives. A multiple data collection method over a period of ten months was used. It included individual interviews, e-mail correspondence and observations of workshops that covered the QI project.

Findings
The result shows tensions between QI work and the daily clinical work of the participants. These tensions primarily concern the conflict between fast and slow processes, the problem of moving between different fields of knowledge, being a resource for the individual clinic and the system and the participants’ expectations and assumptions about roles and responsibilities in a QI project. Furthermore, these findings could be interpreted as signs of a development culture in the health-care context.

Practical implications
There are several practical implications. Among others, the insights can inspire how to approach and contextualize the current concepts, roles and methods of DT and user involvement so that they can be more easily understood and integrated into the existing culture and way of working in the health-care sector.

Originality/value
This study provides a unique insight into a case, trying to uncover what actually is going on and perhaps, why certain things are not happening at all, when user involvement and design practices are applied for improving health-care quality.
Exploring the dependence structure among Chinese firms in the 5G industry
Authors: Wang Liukai , Jia Fu , Chen Lujie , Xu Qifa , Lin Xiao 
Published: January 2021

PurposeThis study aims to explore the dependence structure among Chinese firms across the emerging 5G industry at different stages and to provide some strategic insights for market participants.Design/methodology/approachThis study adopt macroeconomic fundamentals and the log-returns of 45 listed firms in the Chinese 5G industry to construct the weighted adjacency matrix by measuring the correlation parameters and then use the triangulated maximally filtered graph (TMFG) algorithm to construct the dependence network. It analyses the topological structure of the constructed networks to obtain the dependence characteristics for each firm in the whole industrial supply chain at different levels.FindingsThe empirical results provide a comprehensive and concise snapshot of the industrial structure, across the whole 5G industry at different levels, rather than just a “one-to-one” pattern. Specifically, the dependence characteristics of different firms are heterogeneous, and most firms are highly connected with partners in the whole industrial supply chain, whereas a few firms that are weakly connected. Those closely connected firms are usually in the midstream. In addition, compared with firms at different levels, downstream firms usually have closer dependencies and stronger influence capabilities.Practical implicationsRegulators not only should promote stability development for those firms most intensely connected with whole industry chain but also protect those firms with weak link in the whole industry chain. Investors should better understand the embedded ties among different firms to obtain effective market information and can select multiple firms with fewer connections as backup to conduct joint investment for risk mitigation. Mangers should give priority to the central players/firms in the whole industrial supply chain and establish the alliances with closely connected firms.Originality/valueThis study contributes to both the information system and operation management literature by constructing a new network method, Copula-TMFG, to capture the dependence structure among Chinese firms in 5G industry, empirically providing some strategic insights for 5G industry stakeholders, such as regulators, investors and managers.
How cooperative innovation could be more effective in China: a relationship perspective
Authors: Chi Rui , Zhang Jianyu , Deng Guangkuan 
Published: January 2021

PurposeConsidering strategic information sharing (SIS), this paper aims to develop a better understanding of how relation-specific investments (RSIs) influence cooperative innovation performance (CIP) in downstream channel relationships. Also examined was the moderating effect of relational trust in that the indigenous practice ofguanxiis especially critical in China.Design/methodology/approachData were collected through a questionnaire in Chinese high-tech industries, with a valid response from 310 companies. A hierarchical regression analysis was used to test the conceptual model and hypotheses, combining mediation and moderation analysis.FindingsResults show that the influences of specific investments vary according to the specificity dimensions examined. Specifically, human RSI influences CIP and SIS most significantly, and the impact of procedural RSI is, relatively, the weakest. Relational trust’s moderating role is confirmed, and SIS plays a partially mediating role in enhancing vertical cooperative innovation.Practical implicationsManagers should know clearly different roles of RSIs in inter-firm cooperative innovation and prioritize human RSI and brand RSI when investing into channels. More importantly, the findings reveal that strategy-level information sharing should be valued more. It is also recommended that relational ties are vital, especially in Chinese business context.Originality/valueTo the best of the authors’ knowledge, this paper is among the first few to investigate how the effects of disaggregated RSIs in inter-firm cooperative innovation vary and the importance of SIS in vertical relationships. The results provide insightful guidance for researchers and managers in how to better manage RSIs to improve CIP.
Assessing industry differences in marketing innovation using multi-level modeling
Authors: Persaud Ajax , Wang Shu , Schillo Sandra R. 
Published: January 2021

PurposeCurrently, the bulk of research on marketing innovation focuses on various firm-level dimensions using relationships from the technological (product and process) innovation literature. Research on industry-level differences in marketing innovation is lacking. Testing relationships form the technological paradigm in the context of the marketing innovation paradigm is also lacking. This paper aims to present empirical evidence on both aspects using a large-scale data set.Design/methodology/approachThis study uses two large-scale datasets, each consisting of approximately 4,000 Canadian enterprises in 18 industries. The data was collected by Statistics Canada in 2009 and 2012 through its nationwide Survey of Innovation and Business Strategies program. Two widely used theoretical frameworks, resource-based view of the firm and the competitive perspective, are used to generate constructs and hypotheses in relation to marketing innovation. The data was analyzed using multi-level logistic regression.FindingsThe findings show that industry-level competition is a much more important driver of marketing innovation than firm-level competition. The authors also show that marketing constructs that are significant in the context of technological innovation are also significant for marketing innovation.Research limitations/implicationsThis study extends the firm-level literature by providing evidence of how industry-level dynamics enhances marketing innovation. The study also provides empirical evidence from Canadian enterprises that complement those from other countries.Practical implicationsA deeper understanding of the drivers of marketing innovation can enable managers to enact innovation strategies that can enhance organizational performance, differentiate themselves and enhance customer engagement and brand image.Originality/valueAs one of the few studies to examine industry-level differences in marketing innovation, the authors show that disaggregating competition into industry-level and firm-level provides a clearer picture of how competition advances marketing innovation. Additionally, this study is the first of its kind to provide empirical evidence on Canadian enterprises, thereby complementing evidence on marketing innovation from other countries. Thus, this study makes a theoretical and empirical contribution to the emerging marketing innovation literature.
Buying behaviour model of early adopting organizations of radical software innovations
Authors: Iyer Krishnan , K.R. Jayasimha 
Published: January 2021

PurposeThis paper aims to investigate the dynamics of the organizational buying process of radical software innovations. Acquisition of technology innovations by early adopting organizations has been studied previously with scant attention being given to the actual buying process and the risk mitigation mechanism. This paper addresses these gaps in the literature and this paper finds evidence to support that the organizational buying process of radical software innovations is different from the general models of organizational buying.Design/methodology/approachMethods from the grounded theory approach were used to conduct 20 in-depth interviews with senior industry practitioners. Purposive sampling was used to identify the participants.FindingsA theoretical model of the organizational buying process of radical software innovations emerged with themes and concepts that explain the dynamics of the buying and adoption processes. The paper challenges the fundamental tenet of organizational buying that needs recognition triggers the buying process. An interesting nuance was found that risk is mitigated within the buying action itself.Practical implicationsAn understanding of the buyer behaviour process will help marketers of radical software innovations to formulate the appropriate marketing response. Sales personnel can attune their customer interactions when helping customers to acquire a radical software innovation. Firms that want to be early adopters and innovate can tune their buying process in line with the findings.Originality/valueThis paper develops a typological buying model. It unravels the dynamics of the adoption process by discussing how early adopting organizations buy radical software innovations. New concepts with rich explanatory powers are discussed.
Supply disruption in the wake of COVID-19 crisis and organisational performance: mediated by organisational productivity and customer satisfaction
Authors: Udofia Ekpenyong Ekpenyong , Adejare Bimbo Onaolapo , Olaore Gbemi Oladipo , Udofia Etete Ekpenyong 
Published: January 2021

Purpose
This study aims to test the impact of the coronavirus (Covid-19) pandemic on large firms, with regard to a supply disruption, productivity, customer satisfaction and firm performance.

Design/methodology/approach
A cross-sectional survey design and stratified sampling technique were implemented for employee selection and data gathering. Confirmatory factor analysis (CFA) was used to examine the data and model fitness, while the structural equation model was used for hypotheses testing.

Findings
The pandemic triggered supply disruptions, but did not significantly impact the productivity of manufacturing firms directly. However, supply disruption positively and significantly impacted productivity. Organisational productivity had no significant impact on customer satisfaction, however, when mediating the relationship between Covid-19 and customer satisfaction, it produces a positive indirect effect. Finally, Covid-19 and supply disruption when mediated by organisational productivity both had negative significant relationships on performance.

Research limitations/implications
Having a unique model, it creates a trail for future researchers to explore further. Though customer satisfaction was expected to be affected by the pandemic, it is interesting to find out that customer satisfaction when mediated by organisational productivity was positively influenced.

Practical implications
Disruptions are inevitable, managers must balance the pursuit of customer satisfaction and productivity so that one does not erode the other. Emphasis must be channelled towards managing the productivity of the firm to maintain customer satisfaction during these uncertain times. Deliberate steps like manufacturing flexibility investments should be initiated.

Originality/value
The first study to examine Covid-19, supply disruption, customer satisfaction, organisational productivity and performance in the Nigerian manufacturing sector.
Using critical realism and abduction to navigate theory and data in operations and supply chain management research
Authors: Eriksson David , Engström Annika 
Published: January 2021

Purpose
Operations and supply chain management (OSCM) is a theoretically and philosophically fragmented field. Researchers must consider how they use theory and explain empirical phenomena. This paper aims to use critical realism to introduce more coherence into this fragmented field.

Design/methodology/approach
This paper draws on existing critical realism and abduction literature and this study uses a research process from two PhD projects to investigate critical realism’s role in OSCM research. This paper uses a narrative approach to collect data over a long timeframe, capturing data not commonly used in OSCM research.

Findings
Research that struggles to bridge the gap between theory and data benefits from critical realism, which provides a philosophy and associated methods to identify a suitable theory and guide researchers when they encounter obstacles. While clear steps often outline established methods, researchers are sometimes unable to identify when their research process has reached an obstacle. This paper argues that such obstacles can be treated as “crossroads” offering new research opportunities when correctly evaluated and addressed.

Research limitations/implications
Importantly, researchers should be able to reflect upon their own research processes, enabling a better understanding of these processes and the discovery of new research directions. Researchers can use critical realism, abduction and systematic combining to bridge the divide between theory and data in OSCM.

Originality/value
This paper contributes to the field’s discussion regarding the roles of critical realism and abduction, synthesizing multiple academic sources, highlighting critical realism’s importance and providing a novel means of addressing difficulties in navigating an eclectic research area. This paper offers a philosophical alternate to the field, which is often instead considered from a positivistic standpoint. The paper is valuable to researchers in the OSCM field, who can use the research to improve their selection of data and theories, as well as their understanding of their own research processes.
Does size matter? The effects of public sector organizational size’ on knowledge management processes and operational efficiency
Authors: Al Yami Mohsenah , Ajmal Mian M. , Balasubramanian Sreejith 
Published: January 2021

Purpose
Firm size is an important contingency variable in macro-organizational studies. Several questions arise in relation to knowledge management and organizational size that is critical to both public and private organizations. Unfortunately, despite its significance, all or most of the studies that examined the effects of organizational size’ on knowledge management have been in the private sector. This paper aims to empirically study the effects of organizational size on the key knowledge management processes and subsequent operational efficiency derived from its implementation in the public sector.

Design/methodology/approach
A structured country-wide survey of United Arab Emirates public sector organizations was conducted. The 383 completed responses obtained were then analysed to assess the hypothesized differences in the implementation of knowledge management processes (knowledge acquisition, knowledge creation, knowledge capture, knowledge storage and retrieval, knowledge sharing, knowledge utilization) and its impact on the operational efficiency across small and medium, large and very large public sector organizations.

Findings
The results revealed that the extent of implementation of all six knowledge management processes and operational efficiency followed an inverted “V” pattern, in which, both knowledge management processes and operational efficiency was found to increase while transitioning from small and medium entities to large entities, but was found to decrease while transitioning from large to very large entities. In terms of relationships, while all knowledge management processes had a significant positive impact on the operational efficiency of the public sector, the ability to derive operational efficiency from knowledge management processes was found to be the highest for very large public sector organizations.

Practical implications
The novel findings are useful for practitioners and policymakers, especially those overseeing a country’s knowledge management initiatives to devise strategies, policies and support mechanisms to ensure public sector organizations, regardless of their size, can implement efficient and effective knowledge management processes to improve their operational efficiency.

Originality/value
The study is arguably the first comprehensive attempt to understand the impact of organizational size on knowledge management in the public sector.
The use of behavioral tests of fearfulness in chicks to distinguish between the Japanese native chicken breeds, Tosa‐Kukin and Yakido
Authors: Yoshidome Koichi , Fukano Natsuki , Ouchi Yoshimitsu , Tomonaga Shozo , Cockrem John F. , Bungo Takashi 
Published: January 2021

AbstractThe aim of this study was to investigate the differences in fearfulness between two Japanese native chicken breeds, Tosa‐Kukin (TOK) and Yakido (YKD). In a tonic immobility test, TOK breed chicks showed longer duration and lower induction number compared with YKD. The number of peeps in YKD in an isolation test was lower than that in TOK, whereas there were more bouts of peeping in YKD than in TOK. In a manual restraint test, YKD showed more active responses and initiated peeps and struggling earlier than TOK. The three behavioral tests all indicated that YKD are less fearful than TOK chickens. A latent structures discriminant (OPLS‐DA) analysis was used to identify behavioral parameters that contributed to the differences between the breeds. The major parameters were duration and number of inductions in the tonic immobility test and number of struggle in the manual restraint test. These results suggest that three behavioral tests can be used together to evaluate fearfulness of Japanese native breeds of chickens.
Outcome measures in Haemophilia: Beyond ABR (Annualized Bleeding Rate)
Authors: Manco‐Johnson Marilyn J. , Warren Beth Boulden , Buckner Tyler W. , Funk Sharon M. , Wang Michael 
Published: January 2021

AbstractOptions for management of haemophilia are increasing rapidly with completely novel therapeutic approaches that cannot be compared using traditional factor assays. In addition, as prophylaxis regimens have improved, bleeding rates have decreased, and consequently, it is difficult to show an impact of novel therapies on rates of spontaneous bleeding. There is currently an urgent need for a panel of outcome measures to compare therapies that are dissimilar in many essential ways. Conventional objective outcome measures including joint physical examination and joint imaging continue to hold a central importance. Factor assays are essential for evaluation of products derived from native factor genes, but are not applicable to some extended half‐life factors or non‐factor bypassing agents. Global assays including thrombin generation and chromogenic assays of factor X activation are under investigation for their usefulness in haemophilia assessment. Bleeding rate is a conventional subjective patient‐reported outcome that, while decreasing in frequency, is indispensable as an outcome given that the primary manifestation of haemophilia is bleeding. Other patient‐reported outcomes such as pain intensity and interference, health‐related quality of life and activities and participation are increasingly important to distinguish superior outcomes in comparative trials. This review of outcome measures for haemophilia presents examples of existing outcome measures with an emphasis on their strengths and limitations.
Identifying critical risk factors and responses of river dredging projects for knowledge management within organisation
Authors: Chou Jui‐Sheng , Chiu Ying‐Chen 
Published: January 2021

AbstractA river exhibits strong upstream erosion and rapid downstream accumulation. Dredging is one of the methods that is most commonly adopted by the Taiwan Water Resources Agency (WRA) to ensure the smooth flow of rivers and their ability to discharge water, protecting lives and property from flood disasters. However, dredging projects are large, involving very many stakeholders, leading to high uncertainty in the implementation of the project. The WRA also lacks relevant risk management methods and countermeasures owing to the periodical brain drain and retirement within the organisation. In order to enhance risk management for dredging engineers, river management offices across the country were visited, and knowledge and experience of dredging engineering were obtained using expert meetings and scientific methods. Work was carried out with the WRA to identify six major risk categories for dredging projects, covering 30 risks. An Analytic Hierarchy Process (AHP) questionnaire was developed using the Risk Breakdown Structure (RBS), and a Risk Impact/Frequency Analysis (RIFA) questionnaire was developed using the Important/Performance Analysis (IPA) method; these were answered by 69 engineers with experience in river dredging. Finally, critical risk factors are identified and ranked by combining the responses to the questionnaires and in the interviews, helping engineers with risk management in the future. Research results demonstrate that most of the engineering management experience in practice is communicated by word of mouth, with no effective and systematic method of knowledge management. Therefore, a knowledge‐based system is created, covering 170 risk events and solutions for various dredging projects, and a graphical user information system is built in a programming language, to enable the WRA to save engineering experience systematically for future exploitation.