bluuebunny/crossref_metadata_2025_split huggingface dataset:
Big data analytics and competitive advantage: the strategic role of firm-specific knowledge
Authors: Dahiya Rajiv , Le Son , Ring John Kirk , Watson Kevin 
Published: February 2021

PurposeWhile advances in big data analytics (BDA) provide valuable business insights and immense business value, many firms find it difficult to gain advantage from their BDA initiatives. Noting the strategic role of firm-specific knowledge, we develop a framework examining the relation between firm specificity of BDA knowledge and competitive advantage. We also examine the dynamic evolution of BDA capabilities and the associated knowledge management strategies.Design/methodology/approachWe review the resource-based view (RBV), capabilities life cycles and absorptive capacity perspectives along with the literature on BDA competitive advantage. Identifying two key BDA factors, application customization and data proprietorship, we develop a BDA competitive advantage framework. We also investigate the absorptive capacities employed by firms to advance their BDA capabilities. We use anecdotal cases to support our theoretical arguments.FindingsWe propose that BDA solutions with vendor-based applications (noncustomized) and public data will not generate firm-specific knowledge and therefore not provide competitive advantage. In contrast, BDA solutions with custom applications and proprietary data will provide high-level firm-specific knowledge and potentially result in sustained competitive advantage. We further suggest the relevant absorptive capacities and the knowledge management strategies for BDA capability development.Practical implicationsOur framework provides managers with insights into how to develop and enhance firm-specific knowledge from their BDA solutions to gain competitive advantage.Originality/valueOur study offers a new BDA firm-specific knowledge framework for competitive advantage.
Entrepreneurial orientation, knowledge management, dynamic capabilities towards e-commerce adoption of SMEs in Indonesia
Authors: Nasution Muhammad Dharma Tuah Putra , Rafiki Ahmad , Lubis Adelina , Rossanty Yossie 
Published: February 2021

PurposeThe purpose of this study is to examine the dimensions of entrepreneurial orientation (EO), knowledge management process (KMP) and dynamic capability (DC) toward the adoption of electronic commerce (e-commerce) of small and medium enterprises (SMEs) in North Sumatera.Design/methodology/approachThis study used a quantitative methodology using Smart PLS of structural equation model. A survey is done by distributing the questionnaires to the respondents (owner-managers) of SMEs across sectors. Using a convenient sampling technique, 131 respondents were selected. Using a cross-sectional survey design, 11 hypotheses were tested.FindingsIt is found that both innovativeness and proactiveness of EO have a significant relationship with e-commerce adoption (EA), while the risk-taking of EO is found as insignificant. Both risk-taking and proactiveness of EO are significantly related to KMP, but innovation of EO is found to be insignificant. Moreover, KMP significantly mediates the relationship between risk-taking and proactiveness of EO and EA, while KMP insignificantly mediates the relationship between innovativeness of EO and EA. Finally, it is found that DC has a significant relationship in EA.Originality/valueBy using the resource based-theory, the study on the decision of EA by SMEs is conducted which focuses on a number of internal and external factors influencing the adoption decision. This differs from other studies using theories of the technological, organizational and environmental, theory of acceptance and use of technology, theory of planned behavior, theory of reasoned action and others which emphasized on the implementation and usage of EA.
Work + learning: unpacking the agglomerated use of pedagogical terms
Authors: Fergusson Lee , van der Laan Luke 
Published: February 2021

PurposeThe association of work and learning has been well established for many years. However, some of the terms used to describe the various pedagogies related to work and learning have been used interchangeably, with many lacking definitional clarity and scope. These include work-related learning (WRL), work-based learning, workplace learning (WPL) and work-integrated learning (WIL). This agglomerating approach to usage has resulted in pedagogical confusion and what some theorists call a “problematization” for the field, resulting in undermining shared understanding and potential benefit. The purpose of this conceptual paper is an attempt to unpack the meaning and application of some of the key pedagogical terms used in the applied field of work + learning theory and practice.Design/methodology/approachConceptual modelling and qualitative descriptions of each pedagogy.FindingsMany of the work + learning pedagogies do overlap and cohere but attempts to create umbrella terms, which apply to all theories and approaches, are misguided; definitional clarity with the different modes of practice is required for sustainable educational outcomes.Originality/valueA proto-theoretical model, along with a breakdown of distinguishing features of each term as well as their source in the published literature, has been developed to improve clarity and aid the future praxis of educators.
Budget allocation decisions for project risk response
Authors: Zhang Yao , Guan Xin 
Published: February 2021

PurposeThe purpose of this paper is to propose a method integrating fault tree analysis and optimization model to allocate response budget from the preventive and protective perspectives.Design/methodology/approachThe proposed method consists of two main steps. The first step is to analyze and calculate the probability and the loss of the risk. The second step is to build an optimization model for allocating response budget.FindingsFirst, there exists an optimal response budget. Second, risk protection is preferred to risk prevention when the total budget is limited. Third, the protective budget should be first invested for the consequence event with greatest expected loss. Fourth, the preventive budget should be first allocated to the risk cause with highest occurrence probability that belongs to the OR set in the fault tree.Practical implicationsManagerially, our results indicate that project managers (PMs) should make a tradeoff between the budget invested for risk response and reduced expected loss of the risk. Then, in the case of inadequate response budget, PMs should pay more attention to risk protection and cope with the event that can cause severe loss. In addition, under this circumstance, PMs had to better allocate the risk preventive budget in proper order.Originality/valueProject risk response is a critical issue in project risk management as PMs can take actions actively to cope with project risks in this phase. Effective risk response, in general, requires financial support in practice, and reasonable allocation of the total budget among risk response strategies can produce better response effects.
The prisoner’s dilemma in the workplace: how cooperative behavior of managers influence organizational performance and stress
Authors: Spurný Josef , Kopeček Ivan , Ošlejšek Radek , Plhák Jaromír , Caputo Francesco 
Published: February 2021

Purpose
The aim of the paper is to analyze the impact of cooperativeness of managers who occupy central positions in interaction networks on the performance and stress levels of a whole organization.

Design/methodology/approach
To explore this relationship, a multi-parameter agent-based model is proposed which implements the prisoner’s dilemma game approach on a scale-free network in the NetLogo environment. A description of the socioeconomic aspects and the key concepts implemented in the model is provided. Stability and correctness have been tested through a series of validation experiments, including sensitivity analysis. The source code is available for further exploration and testing.

Findings
The simulations revealed that improving the stress resistance of all employees moderately increases organizational performance. Analyzing managers’ roles showed that increasing only the stress resistance of managers does not account for significantly higher overall performance. However, a substantial increase in organizational performance and a decrease in stress levels are achieved when managers are unconditionally cooperative. This effect is stronger for the lowered stress resistance of employees. Therefore, the willingness of managers to cooperate under all circumstances can be a key factor in achieving better performance and building a more pleasant, stress-free working environment.

Originality/value
This paper aims to present a model for analyzing cooperation, specifically in the organizational context, extending the prisoner’s dilemma with novel concepts and mechanisms. Although the results confirm the existing theories about the importance of central nodes in complex networks, they also provide further details on how the cooperative behavior of central nodes (i.e. the managers) might benefit the organization.
Social cryptocurrencies as model for enhancing sustainable development
Authors: Mora H. , Morales-Morales Mario R. , Pujol-López Francisco A. , Mollá-Sirvent Rafael 
Published: February 2021

Purpose
Growing inequality and socioeconomic and environmental degradation concerns forces us to think about how innovative technologies can contribute to reduce this problem. This study aims to analyze the potential of social cryptocurrencies to enhance the community development and cooperation between small businesses of the near environment. The evolution of these technology-based schemes could be key factors for generating innovative social enterprises, improving the quality of life in the community; in this way generate a conceptual model to sustainable development, while being more transparent, efficient and scalable as they are supported by technological applications.

Design/methodology/approach
Based on an in-depth study of the relevant literature, a conceptual model was designed. The concept of social cryptocurrency is proposed as a new approach to virtual currencies for social purposes and sustainable development.

Findings
The key findings point out that actors such as innovation and social entrepreneurship will come together in a new generation of social currencies, extending cryptocurrency technology to social business domains.

Research limitations/implications
The impact of this will result in a better quality of life for society and the achievement of several sustainable development goals. However, a limitation would be that its scope depends on certain characteristics of the local environment. Furthermore, the proposed model will require validation in later phases through social experiments.

Originality/value
The main contribution of this paper is in structuring a formal model that, based on empirical experiences and the use of the technology that underlies cryptocurrencies, proposes a set of constituent elements and characterizes them to contribute to achievement of sustainable development.
A new model for assessing the role of IT-based systems, public policies and business intelligence on the export competitiveness’s efficiency
Authors: Li Jiahua , Lakzi Ali 
Published: February 2021

PurposeBy using some tools such as business intelligence (BI) and exploring data stored in data warehousing systems, it is possible to increase export competition efficiency. Efficiency in the export competition is affected by several factors. Therefore, this paper has attempted to provide a new conceptual framework for assessing the impact of new information technology (IT)-based systems, public policies and BI on the efficiency of export competitiveness.Design/methodology/approachIncreasing exports and its high efficiency depend on each country’s IT. So, IT is the main tool to increase the production process, improve quality and reduce products’ cost. In addition, each country develops policies for business activities and commerce to increase productivity in export competition. Clarifying public policies and strategies critical to the development of export competition is important in this field. Therefore, this paper has tried to provide a new conceptual framework for examining the impact of new IT-based systems, public policies and BI on the effectiveness of export competition. The research method of this study is based on structural equation modeling. This method has been used to evaluate the causal model, assess the reliability and check the measurement model’s validity. Model and data were analyzed using SPSS 22 and SmartPLS software.FindingsThe results showed that the impact of new IT-based systems, public policies and BI on export competitiveness efficiency has been positive.Research limitations/implicationsTo generalize this study’s results and have a more accurate external validity, it is necessary to conduct this research program over a more extended time and space. Also, larger and more comprehensive samples should be taken for further validation. The authors also suggest that other factors can be considered.Practical implicationsThe framework is conceptually innovative in modeling the efficiency of export competitiveness and assessing implications. Export competitiveness is a crucial factor in long-term global farm business survival, as it fosters opportunities for business prosperity on global markets.Originality/valueThe research offers important hints for emerging markets to find their ways to maintain a sustainable competitive advantage in the export market by controlling the country-level factors. This research will be helpful to both policymakers and global managers.
Mathematical modeling and two efficient branch and bound algorithms for job shop scheduling problem followed by an assembly stage
Authors: Daneshamooz Fatemeh , Fattahi Parviz , Hosseini Seyed Mohammad Hassan 
Published: February 2021

Purpose
Two-stage production systems including a processing shop and an assembly stage are widely used in various manufacturing industries. These two stages are usually studied independently which may not lead to ideal results. This paper aims to deal with a two-stage production system including a job shop and an assembly stage.

Design/methodology/approach
Some exact methods are proposed based on branch and bound (B&B) approach to minimize the total completion time of products. As B&B approaches are usually time-consuming, three efficient lower bounds are developed for the problem and variable neighborhood search is used to provide proper upper bound of the solution in each branch. In addition, to create branches and search new nodes, two strategies are applied including the best-first search and the depth-first search (DFS). Another feature of the proposed algorithms is that the search space is reduced by releasing the precedence constraint. In this case, the problem becomes equivalent to a parallel machine scheduling problem, and the redundant branches that do not consider the precedence constraint are removed. Therefore, the number of nodes and computational time are significantly reduced without eliminating the optimal solution.

Findings
Some numerical examples are used to evaluate the performance of the proposed methods. Comparison result to mathematical model (mixed-integer linear programming) validates the performance accuracy and efficiency of the proposed methods. In addition, computational results indicate the superiority of the DFS strategy with regard to CPU time.

Originality/value
Studies about the scheduling problems for two-stage production systems including job shop followed by an assembly stage traditionally present approximate method and metaheuristic algorithms to solve the problem. This is the first study that introduces exact methods based on (B&B) approach.
Covid-19 impact on the Caribbean academic library: Jamaica's preliminary response to people, place, product and services
Authors: Harris Sasekea Yoneka 
Published: February 2021

PurposeThis paper examined the impact of the coronavirus disease 2019 (COVID-19) pandemic on people, place, product and services in Jamaican academic libraries. It also compares the Jamaican academic library’s COVID-19 experience with US academic library’s COVID-19 preliminary experience.Design/methodology/approachThe local academic libraries in higher education in Jamaica (also referred to in this paper as university libraries) were surveyed.FindingsGovernment mandates, university mandates and the absence of a vaccine influenced academic library response. The measures implemented, though unplanned and developed on-the-go, constituted a behavioural change model (BCM). COVID-19 has had a positive-negative impact on library people, place, product and services and has created a new normal for Jamaican academic libraries.Research limitations/implicationsThis paper captures the preliminary response of Jamaican academic libraries to the first wave of the COVID-19 pandemic and its impact on library people, place, product and services. As such, a follow-up survey on changes, challenges, strengths, impact, lessons and plans would be a useful complement to this paper. As COVID-19 information is rapidly evolving, this preliminary response of Jamaica is neither the final nor complete response to the pandemic.Practical implicationsThe COVID-19 pandemic has revealed a gap in the literature on disaster management generally and pandemic management in particular, and on the management of health disasters in academic libraries; this paper seeks to fill this gap, albeit incrementally, through Jamaica's preliminary response to the COVID-19 pandemic.Originality/valueThis paper gives voice to the Caribbean academic library’s COVID-19 experience, through the voice of Jamaica. It is the first scholarly paper on the impact of COVID-19 on university libraries in the Jamaican / English-speaking Caribbean, and so presents the elements of the BCM implemented by Jamaica, which provides an important guide to Caribbean academic library leaders. The findings can also inform the Latin American and Caribbean section of international library papers on COVID-19 impact on academic libraries globally.
Liner shipping network design with sensitive demand
Authors: Cheaitou Ali , Hamdan Sadeque , Larbi Rim 
Published: February 2021

Purpose
This paper aims to examine containership routing and speed optimization for maritime liner services. It focuses on a realistic case in which the transport demand, and consequently the collected revenue from the visited ports depend on the sailing speed.

Design/methodology/approach
The authors present an integer non-linear programming model for the containership routing and fleet sizing problem, in which the sailing speed of every leg, the ports to be included in the service and their sequence are optimized based on the net line's profit. The authors present a heuristic approach that is based on speed discretization and a genetic algorithm to solve the problem for large size instances. They present an application on a line provided by COSCO in 2017 between Asia and Europe.

Findings
The numerical results show that the proposed heuristic approach provides good quality solutions after a reasonable computation time. In addition, the demand sensitivity has a great impact on the selected route and therefore the profit function. Moreover, the more the demand is sensitive to the sailing speed, the higher the sailing speed value.

Research limitations/implications
The vessel carrying capacity is not considered in an explicit way.

Originality/value
This paper focuses on an important aspect in liner shipping, i.e. demand sensitivity to sailing speed. It brings a novel approach that is important in a context in which sailing speed strategies and market volatility are to be considered together in network design. This perspective has not been addressed previously.
Perceived outcomes of e-learning: identifying key attributes affecting user satisfaction in higher education institutes
Authors: Daultani Yash , Goswami Mohit , Kumar Ajay , Pratap Saurabh 
Published: February 2021

PurposeThe purpose of this paper was to examine the perceived outcomes of e-learning by identifying key attributes affecting user (learner) satisfaction in higher education institutes.Design/methodology/approachA conceptual model considering user satisfaction as a key construct was developed through critical literature review and expert opinion. The model is empirically validated using confirmatory factor analysis and structural equation model in the context of higher education institutions. A sample of 802 users comprising of engineering and management students has been used for the analysis.FindingsCourse attributes, system attributes, interactive attributes and instructor attributes were found to have an influence significantly on user satisfaction. Instructor attributes were the topmost significant contributor followed by the course attributes.Social implicationsDelivery of educational programs through e-learning platforms has increasingly gained traction throughout the world owing to its locational, time and convenience-related facets. Further, the ongoing global pandemic has catalysed acceptance of e-learning platforms thus attracting large number of learners and teachers for facilitating the teaching-learning process. This paper is a novel attempt to identify the existing gaps in teaching-learning process in the context of e-learning.Originality/valueThis study is original and provides new insights into how e-learning platforms and higher education institutions can ensure higher user satisfaction and learning in current challenging times. This paper will also be of interest to policymakers.
Broadening the horizons of intellectual capital disclosure to the sports industry: evidence from top UEFA clubs
Authors: Vitolla Filippo , Raimo Nicola , Rubino Michele , Garzoni Antonello 
Published: February 2021

Purpose
The football industry presents a unique setting for intellectual capital analysis. This study aims to investigate the online intellectual capital disclosure level of top football clubs and to analyse the impact of some explanatory factors on the level of information provided.

Design/methodology/approach
The authors use manual content analysis of the websites to measure intellectual capital disclosure levels along with a regression analysis on a sample of the 80 football clubs that qualified for the group stages of the 2019–20 UEFA Champions and Europa League.

Findings
Empirical results reveal that football clubs disclose a limited amount of information regarding intangibles on their websites. In addition, they show that sports performance, technical market value and social media visibility have a positive effect on the disclosure level.

Originality/value
This study extends the horizon of intellectual capital disclosure to a sector (football) that is currently under-explored and broadens the list of antecedents of the intellectual capital disclosure level.