bluuebunny/crossref_metadata_2025_split huggingface dataset:
Examining the relationship between e-service recovery quality and e-service recovery satisfaction moderated by perceived justice in the banking context
Authors: Mathew Sonia , Jose Ajay , G Rejikumar , Chacko Dony Peter 
Published: June 2020

PurposeThe study focuses on the core issue faced by bankers on how to retain existing customers who have encountered an e-service failure and who are skeptical about the justice received through the service recovery process. It further endeavors to create an internal bench-marking model for assessing e-service recovery satisfaction.Design/methodology/approachBy the experimental study, the authors confirm a measurement model using structural equation modeling for examining the impact of perceived service recovery quality antecedents on e-service recovery satisfaction moderated by perceived justice. In total, responses from 399 e-banking customers, who had experienced a e-service failure, were recorded using a 5-point Likert scale with a structured questionnaire.FindingsThe perceived e-service recovery quality antecedents identified were perceived information quality, digital commitment, perceived employee performance and perceived service orientation of organization. The empirical results revealed that “perceived information quality” was the most significant predictor of e-service recovery satisfaction. Perceived justice moderates the relation between perceived service recovery quality and e-service recovery satisfaction.Research limitations/implicationsThe research does not contemplate the e-service recovery satisfaction of customers who have undergone multiple service failures.Practical implicationsThe conclusions of the investigation suggest that the four antecedents of perceived e-service recovery quality model are suitable instruments for creating benchmarks for e-service recovery satisfaction for banks, and that perceived justice moderates the relationship between e-service recovery quality and e-service recovery satisfaction. Therefore, policymakers in banks can use this model to assess the e-service recovery quality, and they ought to enhance the perceived justice feel of the customers who have experienced a service failure.Originality/valueThere remains scarcity of empirical research focusing on perceived information quality and digital commitment as antecedents of perceived e-service recovery quality and its effect on e-service recovery satisfaction in the banking context. Furthermore, similar studies within the banking sector have rarely considered perceived justice as a moderator variable. Hence, this paper attempts to accomplish the research gap by empirically testing the e-service recovery satisfaction level of a large sample of the population toward four antecedents of perceived e-service recovery quality rendered by banks and create a benchmark model to ascertain e-service recovery satisfaction.
Applying social media to environmental education: is it more impactful than traditional media?
Authors: Chung Chi-Hung , Chiu Dickson K.W. , Ho Kevin K.W. , Au Cheuk Hang 
Published: June 2020

Purpose
This study aims to explore how social media help promote environmental education and pro-environmental behaviours by analysing how young adults access social media and traditional media to obtain environmental information differently, how environmental ideas are disseminated through social media and how people perceive and realise environmentalism.

Design/methodology/approach
This is a qualitative study based on a semi-structured interview with student participants. The questions used in the interview were developed by on the integrated waste reduction model by Nishio and Takeuchi (2005) and the enhanced model proposed by Ho et al. (2019).

Findings
The results indicate that young adults agree and accept that living environmentally friendly lifestyles is an important goal. Although they acquire environmental information from social media, they seldom share or interact with those social media posts. This behaviour implies that they are information receivers when dealing with such contents.

Originality/value
The finding of this study provides insight for stakeholders on how to promote related knowledge and encourage people to be “greener” more often and construct a friendlier atmosphere for fostering more in-depth environmental discussions on social media.
Determinants of financial inclusion in rural India: does gender matter?
Authors: Kaur Simrit , Kapuria Cheshta 
Published: June 2020

PurposeSince finance is an efficacious instrument for economic development, social inclusion and women empowerment, the present paper examines the determinants of accessing institutional and non-institutional finance across male- and female-headed households in rural India.Design/methodology/approachMultinomial logistic regression is applied for categorizing households' accessing finance in four categories, namely Only Institutional Finance (IF), Only Non-institutional Finance (NIF), Both Sources of Finance (BF) and Neither Source of Finance (N). Both household and state-level determinants have been analysed. Household data set is sourced from the Situation Assessment Survey (NSSO, 70th round) and state-level data sets from Basic Road Statistics 2016, Agricultural Statistics at a Glance 2016, Rainfall Statistics of India 2014, database on Indian Economy RBI and Census 2011. Econometric regressions have been evaluated for female-headed households (FHHs), male-headed households (MHHs) and overall pooled households (HHs).FindingsFour important findings emerge. First, FHHs have a lower probability of accessing IF and a higher probability of accessing NIF vis-a-vis MHHs. Second, in general, education levels, monthly household consumption expenditure, land size holding, irrigated area and penetration of scheduled commercial banks favourably influence FHHs accessing IF. Third, FHHs belonging to socially disadvantaged castes have a lower probability of accessing IF. Fourth, a substantial proportion of FHHs accesses neither IF nor NIF relative to MHHs.Practical implicationsThe paper thoroughly addresses the issue of accessing finance by FHHs and MHHs, which will further assist policymakers in formulating holistic financial policies for rural India.Social implicationsThe paper recommends increasing women's access to financial services as an effective tool for reducing poverty and lowering income inequality in rural India.Originality/valueThis article contributes to the scant empirical literature on finance and gender.
Analytical analysis of jute–epoxy beams subjected to low-velocity impact loading
Authors: Jasim Manar Hamid , Al-Araji Ali Mohammad Ali , Al-Kasob Bashar Dheyaa Hussein , Ranjbar Mehdi 
Published: June 2020

PurposeIn the article, analytical model of first-order shear deformation (FSDT) beams made of jute–epoxy is presented to study the low-velocity impact response.Design/methodology/approachThe nonlinear Hertz contact law is applied to identify the contact between projectile and beam. The energy method, Lagrange's equations and Ritz method are applied to derive the nonlinear governing equation of the beam and impactor-associated boundary condition. The motion equations are then solved simultaneously by the Runge–Kutta fourth-order method.FindingsAlso, a comparison is performed to validate the model predictions. The contact force and beam indentation histories of the jute–epoxy simply supported beam under spherical impactor with different radius and initial velocity are investigated in detail. It is found that in response to impactor radius increase, the utilization of the contact force law has resulted in a same increasing trend of peak contact force, impact duration and beam indentation, while in response to impactor initial velocity increase, the maximum contact force and beam indentation increase while impact time has vice versa trend.Originality/valueThis paper fulfills an identified need to study how jute–epoxy beam behavior with simply supported boundary conditions under low-velocity impact can be enabled.
Critical posthumanism for all: a call to reject insect speciesism
Authors: Gunderman Hannah , White Richard 
Published: June 2020

PurposeThe authors articulate a posthuman politics of hope to unpack the richly embodied personal experiences and web of relationalities formed through repeated encounters with insects. Interrogating insect speciesism teaches to extend the authors’ compassion and live symbiotically with insects. The authors focus on the narrative of insect decline as impacted by colonialism and white supremacy, enabling insect speciesism to flourish alongside exploitation of other human and nonhuman creatures.Design/methodology/approachThe authors pay particular attention the use of everyday language and framing of insects to “other” them, thereby trivializing and demonizing their existence, including “it's *just* a bug” or “they are pests.” Insect speciesism employs similar rhetoric reinforcing discrimination patterns of other nonhuman animals and humans. The authors focus on the unexpected encounters with insects in domestic spaces, such as an office desk, and through the multispecies space of “the allotment.”FindingsThe authors reflect on two possible posthuman futures: one where insect speciesism is entrenched and unrepentant; the second a decolonized society where we aspire to live a more compassionate and non-violent existence amidst these remarkable and brilliant creatures we owe our very existence on Earth.Originality/valueOne of the most profound lessons of the crisis-driven epoch of the Anthropocene is this: our existence on Earth is intimately bound with the flourishing of all forms of life. This includes complex multispecies encounters between humans and insects, an area of enquiry widely neglected across the social sciences. Faced with imminent catastrophic decline and extinction of insect and invertebrate populations, human relationships with these fellow Earthlings are deserving of further attention.
Literacy in the new norm: stay-home game plan for parents
Authors: Zainuddin Zamzami , Perera Corinne Jacqueline , Haruna Hussein , Habiburrahim Habiburrahim 
Published: June 2020

Purpose
The purpose of this study is twofold. Firstly, this research aims at helping countries implement an equitable, innovative and context-appropriate stay-home game plan for the millions of disadvantaged and under-privileged students severely affected by the forfeiture of school closures; and secondly, this study proclaims that the burgeoning popularity of gamification has the potential to lay the bedrock foundation for ‘Literacy in the New Norm’.

Design/methodology/approach
The temporal closure of schools around the world to limit the spread of the COVID-19 has resulted in massive educational disruptions triggering adverse effects and bringing much of education under grave threat. Through a review of the current empirical and conceptual literature, this study proposes a new gamification concept in a non-technology environment.

Findings
Well underway are global dialogues that hold conversations on implementing mitigation strategies to counter the looming global health crisis. This has generated the impetus for a more concerted effort by concerned governments and international organizations to identify appropriate solutions for the continuity of learning so that the learning never stops. While educators and learners plunge further into the core of reconstructing education, the authors recognize that the fundamentals of technology and virtual connectivity have all along contributed to the multi-faceted e-learning stage set. However, concerns regarding the paradigm shift to remote online learning would certainly exacerbate inequalities cardinally felt across disadvantaged communities around the globe.

Originality/value
As the world is currently bound by strict isolation measures, learners of all ages have been relegated to the confines of their homes. For the most part, the stark realities of technological mishaps that have befallen underprivileged school children, serve as a reminder to help target children all over the world who are in most peril of losing ground in terms of continued education. It is on these grounds that the criterion set out in this article elucidates the nature and scope of a supplementary stay-home game plan detailing the use of game affordances that bear intelligently in the creation of home-based activities for parents to give it their best effort in fostering a collaborative and meaningful parent-child relationship that spawns the new language of literacy in the new norm.
Exploring the drivers of brand fan page follower discontinuance intention: an adaptation of the Furneaux and Wade's framework
Authors: Tang Zhenya , Chen Leida 
Published: June 2020

PurposeMany companies have now built brand fan pages (BFPs) on social media platforms to connect with their existing and potential customers. Nevertheless, the inability to retain existing followers would severely threaten the survival of BFPs and the effectiveness of a company's social media strategies. Drawing upon Furneaux and Wade's discontinuance framework, our study develops a research model to understand the BFP user's intention to discontinue following a BFP.Design/methodology/approachAn empirical study was conducted through an online survey of Chinese social media users. The proposed model was tested by analyzing the collected data using the partial least squares structural equation modeling (PLS-SEM) approach.FindingsThe results reveal that dissatisfaction with information quality, unfollowing costs, trust and alternative attractiveness affect the individual's intention to unfollow a BFP. Notably, unfollowing costs is the most powerful factor to predict followers' propensity to discontinue.Originality/valueOur study contributes to the understanding of the discontinuance of information systems. Theoretical implications for future social commerce research as well as practical suggestions for BFP operators are also discussed.
ACRank: a multi-evidence text-mining model for alliance discovery from news articles
Authors: Zhou Yilu , Xue Yuan 
Published: June 2020

PurposeStrategic alliances among organizations are some of the central drivers of innovation and economic growth. However, the discovery of alliances has relied on pure manual search and has limited scope. This paper proposes a text-mining framework, ACRank, that automatically extracts alliances from news articles. ACRank aims to provide human analysts with a higher coverage of strategic alliances compared to existing databases, yet maintain a reasonable extraction precision. It has the potential to discover alliances involving less well-known companies, a situation often neglected by commercial databases.Design/methodology/approachThe proposed framework is a systematic process of alliance extraction and validation using natural language processing techniques and alliance domain knowledge. The process integrates news article search, entity extraction, and syntactic and semantic linguistic parsing techniques. In particular, Alliance Discovery Template (ADT) identifies a number of linguistic templates expanded from expert domain knowledge and extract potential alliances at sentence-level. Alliance Confidence Ranking (ACRank)further validates each unique alliance based on multiple features at document-level. The framework is designed to deal with extremely skewed, noisy data from news articles.FindingsIn evaluating the performance of ACRank on a gold standard data set of IBM alliances (2006–2008) showed that: Sentence-level ADT-based extraction achieved 78.1% recall and 44.7% precision and eliminated over 99% of the noise in news articles. ACRank further improved precision to 97% with the top20% of extracted alliance instances. Further comparison with Thomson Reuters SDC database showed that SDC covered less than 20% of total alliances, while ACRank covered 67%. When applying ACRank to Dow 30 company news articles, ACRank is estimated to achieve a recall between 0.48 and 0.95, and only 15% of the alliances appeared in SDC.Originality/valueThe research framework proposed in this paper indicates a promising direction of building a comprehensive alliance database using automatic approaches. It adds value to academic studies and business analyses that require in-depth knowledge of strategic alliances. It also encourages other innovative studies that use text mining and data analytics to study business relations.
Measuring the effectiveness of PBL through shape parameters and classification
Authors: Mujumdar Shilpa Bhaskar , Acharya Haridas , Shirwaikar Shailaja 
Published: June 2020

PurposeThis paper utilizes data mining to study the effect of Problem Based Learning (PBL), an innovative pedagogical approach that has been implemented in undergraduate education at a private university in India for teaching Statistics and Operations Research (OR) to techno-management students.Design/methodology/approachThe study follows the assumptions of an in-situ experiment. It employs BBA (IT) and BCA student(s) as a subject and their end of semester GPA as a performance indicator. The pedagogical approach to this study is integrating PBL with classroom teaching. The paper uses a combination of statistics and data mining to analyze the impact of PBL and establish research conclusions.FindingsThe study concludes that the introduction of PBL positively results in an improved GPA for students with a math background. PBL is more effective for BBA (IT) male students. Female students seem to be performing equally well irrespective of the inclusion of PBL. Pattern analysis of shape parameters evidences the impact of PBL, and the results are established through the decision tree and test of proportions.Research limitations/implicationsThe study is limited to students from a single institute.Practical implicationsThis Pattern analysis, as applied in this paper, can be scaled to evaluate the impact of any innovative pedagogical approach agnostic of the field of study. Facilitators can use the process defined in the paper to implement PBL for teaching Statistics and Operations research. Shape parameters of the batch in the previous semester can be utilized by facilitators to plan remedial action for the next semester by classifying students as desirable/non-desirable. Techno-management institutes can alleviate the dread and fear of mathematical subjects by integrating PBL with classroom teaching.Originality/valueThe study utilizes an innovative analytical approach of combining shape parameters with classification. It further provides uniqueness in arriving at a classification of batch performance as desirable/non-desirable and utilizes data mining to emphasize a delineating impact of PBL across both critical parameters of the batch and the student. The study also defines a framework for the implementation of PBL for a techno-management program in Statistics and Operations Research.
Should we increase average income, or the poor’s income to reduce infant and child mortality?
Authors: Rewilak Johan 
Published: June 2020

PurposeThis article examines whether increasing the income of the poor – measured as the income of the lowest quintile – is more beneficial in reducing infant and child mortality rates compared with increases in average income. Given the global importance in reducing infant mortality, the value of this research is important to academics, policymakers and practitioners alike.Design/methodology/approachUsing a sample of 86 countries from 1995–2014 inclusive, our preferred estimation strategy uses an instrumental variable fixed-effects estimator.FindingsOur results propose that the elasticity of the income of the lowest quintile never exceeds that of average income. Therefore, if reducing infant and child mortality is a key policy goal, then boosting average income may be preferable to raising incomes at the lower end of the distribution.Originality/valueGiven these findings, we open a gateway for new literature to add to this unexplored area of research in the income and health relationship.
Library inventory using a RFID wand: contribution of tag and book specific factors on the read rate
Authors: Abcouwer Kasper , van Loon Emiel 
Published: June 2020

PurposeLow read rates are a general problem in library inventories. The purpose of this study is to examine the factors that contribute to the success of library inventory by means of a radio-frequency identification (RFID) inventory taker. The factors investigated were tag position, tag orientation, book thickness, tag density (related to thickness of a sequence of books) and position on the shelf.Design/methodology/approachA total of 210 books were placed in eight random permutations on three fixed book shelves. For each configuration, the RFID tags were read forty times. The resulting data were analysed by means of a generalized linear model, relating the combined contribution of tag position, tag orientation, book thickness and position on the bookshelf to the read rate.FindingsThe tags positioned directly next to the spine were always read, but those near the opening of the book (far from the spine and inventory reader) were not always read. Considering only books with tags near the opening, tag orientation and position on the shelf appeared not to be related to the read rate, while book thickness, thickness over three books and spine tag density appeared to have a small positive contribution to the read rate.Practical implicationsLow read rates during a library inventory can be prevented by placing the tags near the book spine – the other book specific factors (listed in the previous paragraph) are of little influence. When not scanned during a first sweep, repeated scanning can increase the read rate with 0.15.Originality/valueThis paper is one of the first to analyse the influence of tag location and book specific factors on the read rate of RFID tags in library books. The experimental approach sets an example for future work.
Research thematic and emerging trends of contextual cues: a bibliometrics and visualization approach
Authors: Zhao Yang , Wang Lin , Zhang Yaming 
Published: June 2020

PurposeThe paper aims to clarify the importance of the psychological processing of contextual cues in the mining of individual attention resources. In recent years, the research of more open spatial perspective, such as spatial and scene perception, has gradually turned to the recognition of contextual cues, accumulating rich literature and becoming a hotspot of interdisciplinary research. Nevertheless, besides the fields of psychology and neuroscience, researchers in other fields lack systematic knowledge of contextual cues. The purpose of this study is to expand the research field of contextual cues.Design/methodology/approachWe retrieved 494 papers on contextual cues from SCI/SSCI core database of the Web of Science in 1992–2019. Then, we used several bibliometric and sophisticated network analysis tools, such as HistCite, CiteSpace, VOSviewe and Pajek, to identify the time-and-space knowledge map, research hotspots, evolution process, emerging trends and primary path of contextual cues.FindingsThe paper found the core scholars, major journals, research institutions, and the popularity of citation to be closely related to the research of contextual cues. In addition, we constructed a co-word network of contextual cues, confirming the concept of behavior implementation intentions and filling in the research gap in the field of behavior science. Then, the quantitative analysis of the burst literature on contextual cues revealed that the research on it that focused more on multi-objective cues. Furthermore, an analysis of the main path helped researchers clearly understand and grasp in the development trend and evolution track of contextual cues.Originality/valueGiven academic research usually lags behind management practice, our systematic review of the literature to a certain extent make a bridge between theory and practice.