bluuebunny/crossref_metadata_2025_split huggingface dataset:
Digital services adapted by libraries in Mexico to COVID-19 pandemic: a critical review
Authors: Ortega-Martínez Eugenia de los Ángeles , Pacheco-Mendoza Josmel , García Meléndez Héctor Eduardo , Ortiz-Díaz Erik Miguel , Saavedra-Alamillas César 
Published: February 2021

Purpose
The purpose of this study is to analyze to what extent the strategic actions implemented by the libraries contribute to the containment of the pandemic caused by COVID-19, without compromising the quality of library services for their learning communities.

Design/methodology/approach
The research has a mixed methodology: qualitative and quantitative with a technique of documentary review and statistical analysis of data through FanPage Karma software. The documents are public and are part of the teaching programs of the universities, webinars and courses given through accounts and official sites of the Mexican Federal Government, social networks, as well as groups of experts in national and international librarianship.

Findings
The research documents and describes the library services that have emerged in libraries since the quarantine and isolation period established by the Ministry of Public Education. It also shows the strategic actions adopted by universities (their advantages and disadvantages) and the digital competencies of the library professionals to meet the information demands of their communities. Additionally, actions implemented to provide a rapid response are discussed so that they can later be improved to have a comprehensive framework for improving quality in the remote library service.

Originality/value
This research contributes value to the field by critically analyzing libraries’ distance services, their innovations and the necessary professional competences required to achieve the institutional academic goals. Additionally, relevant services in the digital context are described.
Three-dimensional tooth profile design method of harmonic drive considering the deformation difference of the flexspline
Authors: Li Yangfan , Zhang Yingjie , Zhang Ning , Xu Bingchao 
Published: February 2021

Purpose
This paper aims to improve the meshing effect of the gear teeth. It is recommended to analyze the deformation difference between the inner and outer surfaces of the flexspline. The purpose of this paper is to modify the profile of the flexspline based on the deformation difference to improve the transmission accuracy and operating life of the harmonic drive.

Design/methodology/approach
In this paper, ring theory is used to calculate the deformation difference of the inner and outer surfaces of the flexspline, and the actual tooth profile of the flexspline is corrected based on the deformation difference. Then, the flexspline is divided into multiple sections along the axial direction, so that the three-dimensional tooth profile of the flexspline is modified to improve the gear tooth meshing effect.

Findings
This paper proves the effect of the deformation difference between the inner and outer surfaces of the flexspline on the tooth backlash, which affects the transmission accuracy and life of the harmonic drive. It is recommended to modify the tooth profile of the flexspline based on the deformation difference, so as to ensure the tooth meshing effect.

Originality/value
This paper provides a new way for the optimization of the three-dimensional tooth profile design of the harmonic drive.
Incubating innovation in university settings: building entrepreneurial mindsets in the future generation of innovative emerging market leaders
Authors: Bodolica Virginia , Spraggon Martin 
Published: February 2021

PurposeOne of the most discernible initiatives of entrepreneurial universities constitutes the launch of innovation centers, where students and alumni can incubate their business ideas and collaborate on innovative projects with the purpose of converting them into start-up ventures. While incubators and accelerators are quintessential in Western academic contexts, educational institutions in emerging economies are lagging behind in the preparation of future-ready business leaders via the establishment of hubs that stimulate entrepreneurial intention and diffusion of innovation.Design/methodology/approachIn this conceptual paper, the authors seek to contribute to the development of entrepreneurial education ecosystems in less advanced regions of the world through the activation of university-based centers of innovation. The authors rely on a general review of the specialized literature to identify best practice insights pertaining to curriculum design and draw on the combined expertise of the authors’ research team in delivering entrepreneurship and innovation (under)graduate courses and executive education programs in emerging countries.FindingsThe authors conceptualize the mission, vision and curriculum of an innovation hub that can be adopted by any institution of higher education from transitional and emerging market settings to build powerful entrepreneurial mindsets in the future generation of innovative leaders. The proposed innovation hub curriculum incorporates a number of practically relevant and learning boosting activities, including the “So, You Think You Can Innovate?” competition, networking events and guest speakers and training seminars and workshops.Originality/valueTo keep up with changing industry dynamics and secure the relevance of their programs, institutions of higher education in emerging economies need to embrace entrepreneurial models of instruction. They ought to allocate temporal, physical and mental spaces and infrastructure to students to facilitate the generation of innovative concepts and encourage them toward commercialization.
A segmented machine learning modeling approach of social media for predicting occupancy
Authors: Ampountolas Apostolos , Legg Mark P. 
Published: February 2021

PurposeThis study aims to predict hotel demand through text analysis by investigating keyword series to increase demand predictions’ precision. To do so, this paper presents a framework for modeling hotel demand that incorporates machine learning techniques.Design/methodology/approachThe empirical forecasting is conducted by introducing a segmented machine learning approach of leveraging hierarchical clustering tied to machine learning and deep learning techniques. These features allow the model to yield more precise estimates. This study evaluates an extensive range of social media–derived words with the most significant probability of gradually establishing an understanding of an optimal outcome. Analyzes were performed on a major hotel chain in an urban market setting within the USA.FindingsThe findings indicate that while traditional methods, being the naïve approach and ARIMA models, struggled with forecasting accuracy, segmented boosting methods (XGBoost) leveraging social media predict hotel occupancy with greater precision for all examined time horizons. Additionally, the segmented learning approach improved the forecasts’ stability and robustness while mitigating common overfitting issues within a highly dimensional data set.Research limitations/implicationsIncorporating social media into a segmented learning framework can augment the current generation of forecasting methods’ accuracy. Moreover, the segmented learning approach mitigates the negative effects of market shifts (e.g. COVID-19) that can reduce in-production forecasts’ life-cycles. The ability to be more robust to market deviations will allow hospitality firms to minimize development time.Originality/valueThe results are expected to generate insights by providing revenue managers with an instrument for predicting demand.
Is HOA capitalized in housing price? Evidence from Chongqing, China
Authors: Deng Feng 
Published: February 2021

Purpose
International research has found that Homeowners Association (HOA) is capitalized in housing price in the West. Is that result applicable in Chinese cities? In China there is also widespread applause for HOA. Will that leave trail in the housing market? This paper aims to answer these questions by presenting empirical evidence from 113 private gated communities in Chongqing, China.

Design/methodology/approach
The data set comes from three different sources including a telephone survey. The research methodology includes hedonic models with an endogenous dummy variable of the presence of HOA in a community.

Findings
HOA is not capitalized in housing price.

Research limitations/implications
The empirical finding helps to explain why about 80% of private communities in big Chinese cities have not formed an HOA.

Originality/value
This is the first empirical study on HOA capitalization in housing price in China.
Foreign ownership and cost of debt financing: evidence from an emerging market
Authors: Tran Quoc Trung 
Published: February 2021

PurposeThis paper aims to investigate the effect of foreign ownership on cost of debt financing in an emerging stock market.Design/methodology/approachCost of debt is a function of foreign ownership. Control variables include state ownership, firm profitability, financial leverage, Tobin's Q, asset growth, firm size and asset tangibility. The research sample includes 3,263 observations from 405 firms listed in Vietnamese stock market during the period 2009–2017.FindingsThe authors find that foreign ownership negatively affects cost of debt and this effect is stronger in non-state-owned enterprises and financially constrained firms.Originality/valuePrior research shows that ownership structure is a key determinant of debt financing cost in many developed markets. This paper contributes to the literature of emerging market finance by showing that foreign ownership reduces cost of debt financing.
Application of Kaizen-Kata methodology to improve operational problem processes. A case study in a service organization
Authors: Suárez-Barraza Manuel F. , Miguel-Dávila José Angel , Morales-Contreras Manuel Francisco 
Published: February 2021

Purpose
The purpose of this paper is to explore, study, analyze and implement Kaizen–Kata methodology in a service food organization (first-level restaurant), facing challenges in different operational processes that affect and influence the case company performance and customer satisfaction.

Design/methodology/approach
The service organization implemented Kaizen–Kata methodology to improve one operational problem process. A case-study approach was used in this research to understand the effects of the Kaizen–Kata methodology in solving problems in their operational service process. Different Kaizen–Kata techniques and tools (histograms, Pareto chart and Ishikawa diagram) using the Plan, Do, Check, Act improvement cycle framework were used.

Findings
Successful implementation of the proposed methodology reduced the main impact of the problem’s effects (customer’s complaints, process reworking, extra-cost, delays, among others). The effects of the problem were reduced on average by 70%. Some Kaizen–Kata routines were identified in a service process environment.

Research limitations/implications
The main limitation of the research is that this work is a just one-case study. A main generalization is not possible, because it involves a company within a company.

Practical implications
Some other service companies can use the Kaizen–Kata methodology to solve any kind of operational problem within their processes. Service managers can learn about the methodology to apply and improve their operational performance and handle customer’s complaints.

Originality/value
A continuous improvement manufacturing methodology was imported to apply in an operational service process. The Kaizen–Kata methodology contributed significantly to reduce delays, handle customer’s complaints, process reworking and deal with extra costs, among other operational problems’ effects. In addition to that, in the literature, most of the Kaizen applications are in manufacturing companies. To the best of authors’ knowledge, this was the first study of applied Kaizen–Kata in a service organization (a fast-food restaurant).
We-intention to continue playing mobile multiplayer games: the role of social play habit
Authors: Li Mengjun , Suh Ayoung 
Published: February 2021

PurposeThe purpose of this study is to develop and test a theoretical model that accounts for an individual's we-intention to continue playing a mobile multiplayer game.Design/methodology/approachDrawing on habit-intention and habit formation theories, this study conceptualizes social play habit as a determinant of the we-intention to continue playing and identifies its antecedents. The proposed model was tested through a survey of 277 players of Honor of Kings, a popular mobile multiplayer game.FindingsThe results indicate that developing social play habit is critical to the formation of a we-intention to continue playing in the context of mobile multiplayer games. The results also suggest that technological (social features embedded in the game) and individual (desire for co-play and privacy concerns) factors jointly influence social play habit.Research limitations/implicationsThis study contributes to the literature on we-intention by conceptualizing social play habit and verifying its role in facilitating a shared intention to continue playing mobile multiplayer games. Our work responds to the call for understanding the mechanism by which multiple people form a shared intention to continue using an information technology at a collective level. Our findings provide significant insights into the design of information technologies for collaboration.Originality/valueThis study is among the first to extend the literature on gaming habits by considering other players' involvement. Specifically, our study shifts researchers' attention from gaming habits characterized by individual properties to social gaming habits characterized by communal properties.
Lessons for green management from the Hispanic Civil Rights movement: a pseudo-gap analysis
Authors: Pane Haden Stephanie , Randolph-Seng Brandon , Hasan Md. Kamrul , Williams Alex , Hayek Mario 
Published: February 2021

PurposeAlthough green management has gained legitimacy as a sustainable business practice, little is known about the elements that will lead to the long-term success of the movement. To identify these elements, this study aims to review the existing literature on social movements and analyzes archival data from a specific social undertaking, the Hispanic Civil Rights movement in the USA.Design/methodology/approachA historiographical approach was used in which systematic combining used abductive logic to developed a provisional framework based on the interpretation of secondary sources of data concerning the Hispanic Civil Rights movement. Subsequently, an ethnomethodologically informed interpretation of primary data based on the League of United Latin American Citizens (LULAC) archives refined the provisional framework.FindingsThe authors identified common elements that are critical to the success of social movements, as supported by both secondary data on the Hispanic Civil Rights movement and primary data based on the LULAC archives. These elements consist of: ideology, identity, mobilization, goals, leadership and integration. Using these results, a pseudo-gap analysis approach was completed by systematically comparing the interpretive data with current knowledge of the green management movement to identify the missing gaps and to offer guidance for further development of green management as a contemporary movement.Social implicationsApplying the lessons learned from social movements will help the development and prosperity of the green movement in current business organizations. Such applications are important, given that local and global environmental crises can have profound implications on ecosystems, economics and social systems.Originality/valueSocial movements are an important means by which societal concerns such as injustices are addressed. By identifying the important elements needed for the green management movement to be successful in the long term, managers will know where to put their efforts. Such actions may help environmental awareness in business organizations to become more than a fad or marketing tool.
Dispersed knowledge management in ecosystems
Authors: Gomes Leonardo Augusto de Vasconcelos , de Faria Aline Mariane , Borini Felipe Mendes , Flechas Chaparro Ximena Alejandra , dos Santos Matheus Graciani , Gurgel Amaral Guilherme Soares 
Published: February 2021

Purpose
Accessing and sharing dispersed knowledge in ecosystems is neither easy nor automatic. In ecosystems, focal firms should purposely create the right conditions and act to deal with dispersed knowledge. This study aims to investigate how focal firms manage dispersed knowledge in ecosystems characterized by a set of autonomous, heterogeneous, yet interdependent actors involved in experimentation under uncertainty.

Design/methodology/approach
Following a conceptual framework based on preceding literature, this study conducted a broad qualitative case study of 6 firms and 12 projects, with 43 semi-structured interviews to identify the patterns of actions associated with dispersed knowledge management (KM) in ecosystems. This paper combines coding and multiple case comparisons to examine the processes and strategies used by the firms to strategically manage dispersed knowledge in ecosystems.

Findings
This paper proposes a framework that articulates a new type of orchestration (dispersed knowledge orchestration) and offers a new set of dispersed knowledge strategies (transfer, modularity and circular) for ecosystems.

Practical implications
Innovation and knowledge managers play the roles of dispersed knowledge orchestrators. The study offers guidance on how focal firms should carefully use a particular set of approaches (e.g. integrative theorization) including a portfolio of dispersed knowledge strategies in ecosystems.

Originality/value
Current literature on KM and ecosystem management offers a limited understanding of how organizations manage dispersed knowledge in ecosystems. The research provides three major original contributions. First, the framework contributes to broadening the current understanding of ecosystem orchestration by identifying the micro-foundations of dispersed knowledge orchestration: integrative theorization, nurturing distributed sensemaking and a new chapter for ecosystem governance (i.e. dispersed knowledge governance). Moreover, the framework proposes a new type of strategy, the dispersed knowledge strategy. Finally, by exploring the interplay between the micro-foundations of dispersed knowledge orchestration and dispersed knowledge strategy, the results contribute to a multi-level approach in the field.
The intertwining of knowledge sharing and creation in the digital platform based ecosystem. A conceptual study on the lens of the open innovation approach
Authors: Bereznoy Alexey , Meissner Dirk , Scuotto Veronica 
Published: February 2021

PurposeGenerally, there is a common sense to consider knowledge sharing and creation as two separate processes but a new matter emerges when those processes are intertwining. In this vein, this research aims to discuss on the lens of the open innovation (OI) model how such intertwining generates digital platform-based ecosystem.Design/methodology/approachThe theoretical approach is used to largely discuss the intertwining of knowledge sharing and creation in the current digital era. It debates such scenario considering past and present studies and suggests future research streamlines.FindingsIt offers a new theoretical model that can be implemented in a micro, meso and macro level where the concept of “ba” (or ba-sho) assumes the form of a digital platform where knowledge sharing is in motion and dynamically interacts with the knowledge creation.Originality/valueBy discussing the intertwining of knowledge creation and sharing in OI context along with digital trends (e.g. platform innovation ecosystems and platform innovation management), the study offers a new conceptual framework that relies on such intertwining accompanied by the concept of “ba – sho.” In this vein, research limits and new research are suggested to demonstrate and support this conceptual study.
Analyzing the critical success factors influencing Lean Six Sigma implementation: fuzzy DEMATEL approach
Authors: Raval Shruti J. , Kant Ravi , Shankar Ravi 
Published: February 2021

PurposeLean Six Sigma (LSS) is receiving a tremendous attention as a modern process of streaming to improve the organizational ability and customer satisfaction. A successful LSS implementation is influenced by various factors and the execution of all the influencing factors simultaneously is a very difficult task for any organization. From the perspective of limitation of resources, this paper aims to present a basic issue in an LSS implementation of clustering complex and impacting factors into groups to achieve them in a stepwise manner. This paper aims to present a fundamental issue of clustering the complex and impacting factors of an LSS implementation into groups to achieve them stepwise.Design/methodology/approachA total of 40 relevant influencing factors toward an LSS implementation have been identified from the extensive literature review and duly validated with experts’ opinions. Integrated fuzzy set theory and decision-making trial and evaluation laboratory (DEMATEL) approach are demonstrated to explore the causal relationships among influencing factors of the LSS implementation. An empirical case analysis of an Indian manufacturing organization is carried out to illustrate the utilization of the proposed model.FindingsThe proposed framework effectively finds out the significance of each influencing factor of an LSS implementation and clustered into cause–effect groups. As per the results of the empirical case analysis, ten critical success factors (CSFs) of the LSS implementation are evaluated for the successful LSS implementation. Top management pays more attention to achieve them and implement them in a phase-wise approach under the limitations of accessible resources.Research limitations/implicationsThe presented framework provides an effective, precise and systematic decision support tool for recognizing CSFs of the LSS implementation. The organization, decision-makers, industrial practitioners and academic researchers may be able to comprehend the cause–effect relationship of the influencing factors of the LSS implementation. The exploratory nature and the single case study are two major limitations of this analysis. The developed model is heavily dependent on the experts’ opinions; hence, any bias in judgment will influence the final result.Originality/valueThis analysis is the first of its kind of effort, according to the best of the authors’ knowledge, to classify the influencing factors of LSS implementation into the cause–effect cluster. The outcomes of this analysis make the complexity of a problem easier in handling and assisting the decision-making.