bluuebunny/crossref_metadata_2025_split huggingface dataset:
Driving performance of higher education industry: an Indian scenario
Authors: Tewari Sumant Kumar , Misra Madhvendra 
Published: October 2020

PurposeThe purpose of this paper is to identify the information and communication technology management enablers (ICTMEs) and establish the hierarchical relationship among them using interpretive structural modelling (ISM) and analyse their driving and dependence power, using integrated ISM fuzzy-MICMAC analyses.Design/methodology/approachFor identifying the ICTMEs, along with extensive literature review a large number of academicians and practitioners of repute are consulted. The contextual relationships between ICTMEs are established with the help of a well-established ISM methodology and further ICTMEs are analysed on the basis of their driving and dependence power and classified them into four different clusters by using fuzzy-MICMAC.FindingsThis paper has identified 25 key ICTMEs related to human resource, organization culture, technology, strategic planning, ICTM practices and organizational performance measurement and created a diagraph representing hierarchical relationship among them. Further these enablers are analysed and classified into four clusters on the basis of their driving and dependence power.Research limitations/implicationsThe developed relational model is based on the inputs of academicians and practitioners and any biasing from the person judging the ICTM enablers might influence the power of this model.Practical implicationsTop management of the organization could formulate and execute their strategies keeping in mind these identified critical enablers and relationship among them which will finally result into higher performance of ICTM.Originality/valueThis is the first kind of study which has identified 25 key enablers of ICTM, established hierarchical relationship among them and analysed them on the basis of their driving and dependence power using integrative ISM fuzzy-MICMAC analysis.
A case study on FMEA-based improvement for managing new product development risk
Authors: Moreira Antonio Carrizo , Ferreira Luis Miguel D.F. , Silva Pedro 
Published: October 2020

PurposeThe purpose of this paper is to explore the applicability of the failure mode and effects analysis (FMEA) as an effective tool for decreasing failure risk in the early phase of the new product development (NPD), which adds to existing literature on the application of FMEA in NPD.Design/methodology/approachThrough the application of action research (AR) methodology, it was possible to develop a case study examining the use of FMEA to decrease NPD risk in an early phase of NPD execution.FindingsThe importance and immediate gains of identifying NPD failures support FMEA's usefulness for NPD risk decrease. Moreover, its user-friendliness, timeliness and cost advantages facilitate the introduction of FMEA in the early phase of NPD execution.Originality/valueFMEA is a well-known method used in manufacturing companies to identify and correct failures in products, processes and systems. This article explores the lack of practice-oriented evidence on the use of FMEA in the early phase of NPD execution and provides support to its applicability and effectiveness.
The drivers of omni-channel shopping intention: a case study for fashion retailing sector in Danang, Vietnam
Authors: Truong Thi Hieu Hanh 
Published: October 2020

PurposeThe purpose of this paper is to look into the mechanism in which customers involve themselves in omni-channel retail setting and use its advantages.Design/methodology/approachVia an empirical analysis through surveying customers, this paper assesses and confirms the drivers of omni-channel shopping intention within the context of fashion retailing sector in Danang.FindingsThe findings highlight the significance of customer perception of research shopping (including showrooming and webrooming) behaviours, compatibility and risk to their intention towards omni-channel shopping, implying profound understanding of designing effective omni-channel retailing strategy.Originality/valueFrom a theoretical perspective, comprehending customer perception of the omni-channel concept has emerged as an important theme in recent literature as well as in practitioners' reports. Hence, the meaningful contribution of this study is the involvement in the attractive steam of study. From a managerial perspective, this study could offer guidance to retailers or managers about developing a successful omni-channel strategy from a customer point of view.
Linking absorptive capacity, knowledge transfer and transactive memory
Authors: Human Gert 
Published: October 2020

PurposeThis paper aims to construct an argument in support of the idea that absorptive capacity may lead to improved transactive memory conditional to the effectiveness of knowledge transfer between team members.Design/methodology/approachThe study reports on the results of data collected from 10 knowledge worker teams in a business-to-business context across various industries. The study tests a theoretical model to consider the relationship between the dimensions of absorptive capacity, knowledge transfer effectiveness and transactive memory systems.FindingsAt the individual level, the results suggest that knowledge acquisition and assimilation is associated with higher levels of knowledge transfer while unstructured knowledge transfer is associated with specialisation, credibility and coordination that drives transactive memory.Originality/valueThe results suggest that an alternative conceptualisation of the relationship between absorptive capacity, knowledge transfer effectiveness and transactive memory systems is indeed conceivable. This implies that transactive memory can benefit from increased absorptive capacity and enhanced knowledge transfer effectiveness and may point at an under-explored avenue of research.
Disinvestment in Indian central public sector enterprises: a performance improvement measure
Authors: Mandiratta Priya , Bhalla G.S. 
Published: October 2020

PurposeThe purpose of this study is to represent an attempt to empirically capture the impact of disinvestment on the financial and operating performance of 26 Bombay Stock Exchange (BSE) listed central public sector enterprises (CPSEs) in India which got divested through stock market mechanism during the time period of 2000–2014.Design/methodology/approachThrough ratio analysis different ratios such as return on assets, return on equity, net income efficiency, debt equity, dividend payout and employment levels have been computed. Pre- and post disinvestment performance of these firms is examined through Wilcoxon signed-rank test. The present research endeavors to examine the impact of disinvestment through random effect panel data models in order to control the effect of other firm specific variables.FindingsThe overall results of the study indicate statistically significant fall in profitability ratios. The empirical results have not witnessed positive effect of disinvestment on the profitability of the CPSEs; rather, this effect has found to be negative. The possible reasons behind these negative results could be poor pre disinvestment financial health of CPSEs, negative rate of return on capital employed by PSEs and inefficiency which need to be tested empirically by future researchers.Originality/valueThe fact that government-owned firms are typically less proficient or at least less gainful than private-owned firms is widely hypothesized. Therefore, the disinvestment policy aims at dropping the participation of the public sector in the economic actions of the country in order to support the private sector. The present study is a first of its kind to study the impact of disinvestment on the profitability of the firms, which got divested through stock market mechanism since the year 2000 by applying both univariate and multivariate analysis.
Predicting Indian consumers' purchase intention from Western apparel brands
Authors: Chakraborty Swagata , Sadachar Amrut 
Published: October 2020

PurposeThe present study compared Indian consumers' attitude (AT) toward and purchase intention (PI) from Western apparel brands, as a function of their Western acculturation (WA), consumer ethnocentrism (CE) in apparel consumption, consumer cosmopolitanism (CC) and country of residence (India vs the USA).Design/methodology/approachThe sample included Indians residing in India and the USA, who were 19 years or older, and visited online or brick-and-mortar apparel stores. An online survey was administered through Amazon Mechanical Turk to collect the data. The data was analyzed through multi-group structural equation modeling.FindingsWA engenders CE among Indian consumers, especially among Indians residing in India. WA and CC positively influence AT. CE did not have a significant negative influence on AT. Although a high CE lowers the PI, a high WA, CC and positive AT can translate into high PI.Research limitations/implicationsThe study did not use an experimental design. Therefore, causal relationships between the research variables could not be explained. Majority of the respondents were male. This might have confounded the findings with potential gendered effects.Practical implicationsWestern apparel brands targeting Indian consumers in India and the USA should focus on projecting their cosmopolitan and pro-Indian image to target this population's cosmopolitan and ethnocentric outlook, thereby enhancing PI.Originality/valueThe study proposed and empirically tested a conceptual model indicating the relationship between some of the important predictors of Indian consumers' PI in the context of Indians residing in the USA and India.
Challenges for academic organizations' legitimacy in Colombia's transition to a postconflict context
Authors: Ramirez Jacobo , Vélez‐Zapata Claudia 
Published: October 2020

PurposeWe explore and explain how academic organizations attempt to establish legitimacy in a transition to a postconflict context, and we examine the ethical challenges that emerge from insightful approaches to formal education in such contexts.Design/methodology/approachWe use legitimacy theory to present a case study of a business school in Medellin, Colombia (herein referred to by the pseudonym BS-MED) in the empirical setting of the end of the most prolonged armed conflict in the world.FindingsWe identify the mechanisms implemented by BS-MED to comply with the Colombian government's peace process and rhetoric of business profitability and the faculty members' initiatives in response to social and academic tensions.Originality/valueThis study identifies the sources of the tensions and discrepancies between the regulatory and pragmatic versus moral and cultural-cognitive criteria of legitimacy in transitions to a postconflict context. This examination advances our understanding of the challenges that organizations face regarding changes to legitimacy over time. The extreme setting of our case positions academics as key players who lead the search for legitimacy. This study challenges the understandings of legitimacy in the literature on organizations, which rarely consider broader sociopolitical transitions to a peace context.
Development land valuation accuracy in China – a case study of Beijing
Authors: Dou Mengmeng , Hemphill Lesley Anne , Lim Lay Cheng 
Published: October 2020

PurposeThe paper aims to quantitatively investigate vacant industrial land valuation accuracy in China, given the importance of the industrial market as an underlying pillar to promote urban growth especially in emerging economies.Design/methodology/approachIn China, the government formulates a Land Benchmark Price (LBP) to serve as a price reference point to sell land rights. To gain an in-depth understanding of the valuation practice by LBP, this paper uses correlation analysis to investigate the varying dynamics between the transaction-based prices and LBP appraisal-based estimates. Furthermore, a margin of error examination investigates the distortion in LBP land appraisals, with an amended LBP presented to improve the accuracy of the current LBP method.FindingsDifferent influencing factors are identified to impact the actual market transaction prices and the LBP construction, leading to a large discrepancy in industrial land appraisals. A systematic problem is recognised that the construction of the LBP follows urban bid curve theory, whereas the land transaction prices do not, demonstrating that an urgent LBP update is needed to capture the market dynamics for industrial market.Practical implicationsThe paper sets out discrepancies in valuation accuracy surrounding the application of the LBP valuation approach in China. This has practical implications for valuers in terms of raising their awareness of the deficiencies in the approach and the pitfalls they need to guard against in their appraisals. It also has implications for developers and investors who rely on valuer appraisals to assess the viability of land purchases; hence, they need to express caution in the appraisal advice sought. Finally, the results demonstrate to the standard setters how they need to modify the LBP equations to better capture market dynamics.Originality/valueThe paper examines valuation accuracy in transitional economies, through valuation differentials between appraised price and the transacted price. The value of the work lies in the analysis of the fundamental differentials between market price and appraised value, which is of importance to investors/developers, practicing valuers, as well as government officials responsible for setting the valuation standards.
Computer-assisted EFL writing and evaluations based on artificial intelligence: a case from a college reading and writing course
Authors: Wang Zhijie 
Published: October 2020

PurposeThe aim of this study is to explore students' expectations and perceived effectiveness of computer-assisted review tools, and the differences in reliability and validity between human evaluation and automatic evaluation, to find a way to improve students' English writing ability.Design/methodology/approachBased on the expectancy disconfirmation theory (EDT) and Intelligent Computer-Assisted Language Learning (ICALL) theory, an experiment is conducted through the observation method, semistructured interview method and questionnaire survey method. In the experiment, respondents were asked to write and submit four essays on three online automated essay evaluation (AEE) systems in total, one essay every two weeks. Also, two teacher raters were invited to score the first and last papers of each student. The respondents' feedbacks were investigated to confirm the effectiveness of the AEE system; the evaluation results of the AEE systems and teachers were compared; descriptive statistics was used to analyze the experimental data.FindingsThe experiment revealed that the respondents held high expectations for the computer-assisted evaluation tools, and the effectiveness of computer scoring feedback on students was higher than that of teacher scoring feedback. Moreover, at the end of the writing project, the students' independent learning ability and English writing ability were significantly improved. Besides, there was a positive correlation between students' initial expectations of computer-assisted learning tools and the final evaluation of learning results.Originality/valueThe innovation lies in the use of observation methods, questionnaire survey methods, data analysis, and other methods for the experiment, and the combination of deep learning theory, EDT and descriptive statistics, which has particular reference value for future works.
Tactics, affects and agencies in digital privacy narratives: a story completion study
Authors: Watson Ash , Lupton Deborah 
Published: October 2020

PurposeThe purpose of this paper is to report on the findings from the Digital Privacy Story Completion Project, which investigated Australian participants' understandings of and responses to digital privacy scenarios using a novel method and theoretical approach.Design/methodology/approachThe story completion method was brought together with De Certeau's concept of tactics and more-than-human theoretical perspectives. Participants were presented with four story stems on an online platform. Each story stem introduced a fictional character confronted with a digital privacy dilemma. Participants were asked to complete the stories by typing in open text boxes, responding to the prompts “How does the character feel? What does she/he do? What happens next?”. A total of 29 participants completed the stories, resulting in a corpus of 116 narratives for a theory-driven thematic analysis.FindingsThe stories vividly demonstrate the ways in which tactics are entangled with relational connections and affective intensities. They highlight the micropolitical dimensions of human–nonhuman affordances when people are responding to third-party use of their personal information. The stories identified the tactics used and boundaries that are drawn in people's sense-making concerning how they define appropriate and inappropriate use of their data.Originality/valueThis paper demonstrates the value and insights of creatively attending to personal data privacy issues in ways that decentre the autonomous tactical and agential individual and instead consider the more-than-human relationality of privacy.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-05-2020-0174
A novel ‘triple drawdown’ method highlights deficiencies in invasive alien crayfish survey and control techniques
Authors: Chadwick Daniel D. A. , Pritchard Eleri G. , Bradley Paul , Sayer Carl D. , Chadwick Michael A. , Eagle Lawrence J. B. , Axmacher Jan C. 
Published: October 2020

Abstract

Freshwater crayfish can be successful invaders that threaten native biota and aquatic ecosystems in numerous countries worldwide. Nonetheless, the inability of conventional crayfish survey techniques like trapping and handsearching to yield quantitative population data has limited the understanding of crayfish invasion biology and associated ecological impacts.

Here, we employed a novel ‘triple drawdown’ (TDD) method to sample invasive populations of signal crayfish Pacifastacus leniusculus in a headwater stream in Northern England. The method was compared with conventional techniques of trapping and handsearching.

The TDD method proved to be an effective technique with high capture efficiency, reporting signal crayfish densities from 20.5 to 110.4 animals/m2 at our study sites. These numbers exceed any previous estimates for similar streams.

The TDD showed the vast majority of individuals across all sites were juvenile or sub‐adult (<26 mm CL), with only 2.3% of the population large enough (≥35 mm CL) to be caught in standard traps.

Synthesis and applications. The triple drawdown (TDD) method demonstrates strong inefficiencies and biases in conventional crayfish survey and management techniques. Trapping is not recommended for representative sampling or control of juvenile dominated populations. TDDs, which can be adapted and modified to operate in multiple habitat types and freshwater systems, generate robust quantitative data on invasive crayfish population demographics in situ. This can advance our understanding of the biology of an important invader of freshwater systems around the world. Obtaining this data prior and post‐intervention is fundamental to evaluate invasive crayfish management, and we recommend the TDD method to assess the effectiveness of future control measures.
Contact zone of two different chloroplast lineages and genetic guidelines for seed transfer in Quercus serrata and Quercus crispula
Authors: Onosato Kataru , Shitara Takuto , Matsumoto Asako , Matsuo Ayumi , Suyama Yoshihisa , Tsumura Yoshihiko 
Published: October 2020

AbstractWithin their natural distribution ranges, plant species exhibit a genetic structure that has been created by global climate change and natural selection over long periods. This genetic structure needs to be conserved for sustainable use of genetic resources. To conserve local forests with different genetic structures, genetic guidelines for seed and seedling transfer in individual species are necessary. Genetic guidelines have been published for 43 Japanese tree species using population genetic data; however, for practical use, more detailed genetic borders between important genetic lineages should be clarified to inform seed collection and planting. Thus, we investigated in detail the genetic borders between two important Japanese oak species, Quercus serrata and Quercus crispula, in the Chubu region of Japan using chloroplast and nuclear DNA markers, and we discuss the factors that influenced border creation using the results of species distribution modeling (SDM). The chloroplast DNA (cpDNA) haplotype was clearly different within the Chubu region of Japan but the difference in nuclear DNA between northern and southern haplotype populations was very small, both in Q. serrata and Q. crispula. The results of SDM showed that during the last glacial maximum (LGM) Q. serrata was distributed mostly along the coastline but Q. crispula was distributed not only along the coast but also in mountainous areas further inland. The cpDNA genetic borders of these two oak species are complex and seem to have been influenced by topography and their distribution during the LGM. We propose and discuss genetic guidelines for these two oak species based on the results of this study.
Co‐culture with Synechococcus facilitates growth of Prochlorococcus under ocean acidification conditions
Authors: Knight Margaret A. , Morris J. Jeffrey 
Published: October 2020

SummaryAnthropogenic CO2 emissions are projected to lower the pH of the ocean 0.3 units by 2100. Previous studies suggested that Prochlorococcus and Synechococcus, the numerically dominant phytoplankton in the oceans, have different responses to elevated CO2 that may result in a dramatic shift in their relative abundances in future oceans. Here we showed that the exponential growth rates of these two genera respond to future CO2 conditions in a manner similar to other cyanobacteria, but Prochlorococcus strains had significantly lower realized growth rates under elevated CO2 regimes due to poor survival after exposure to fresh culture media. Despite this, a Synechococcus strain was unable to outcompete a Prochlorococcus strain in co‐culture at elevated CO2. Under these conditions, Prochlorococcus' poor response to elevated CO2 disappeared, and Prochlorococcus' relative fitness showed negative frequency dependence, with both competitors having significant fitness advantages when initially rare. These experiments suggested that the two strains should be able to coexist indefinitely in co‐culture despite sharing nearly identical nutritional requirements. We speculate that negative frequency dependence exists due to reductive Black Queen evolution that has resulted in a passively mutualistic relationship analogous to that connecting Prochlorococcus with the ‘helper’ heterotrophic microbes in its environment.