bluuebunny/crossref_metadata_2025_split huggingface dataset:
Establishing the interplay between lean operating and continuous improvement routines: a process view
Authors: Knol Wilfred H. , Lauche Kristina , Schouteten Roel L.J. , Slomp Jannes 
Published: August 2022

PurposeBuilding on the routine dynamics literature, this paper aims to expand our philosophical, practical and infrastructural understanding of implementing lean production. The authors provide a process view on the interplay between lean operating routines and continuous improvement (CI) routines and the roles of different actors in initiating and establishing these routines.Design/methodology/approachUsing data from interviews, observations and document analysis, retrospective comparative analyses of three embedded case studies on lean implementations provide a process understanding of enacting and patterning lean operating and CI routines in manufacturing SMEs.FindingsIncorporating the “who” and “how” next to the “what” of practices and routines helps explain that rather than being implemented in isolation or even in conjunction with each other, sustainable lean practices and routines come about through team leader and employee enactment of the CI practices and routines. Neglecting these patterns aligned with unsustainable implementations.Research limitations/implicationsThe proposed process model provides a valuable way to integrate variance and process streams of literature to better understand lean production implementations.Practical implicationsThe process model helps manufacturing managers, policy makers, consultants and educators to reconsider their approach to implementing lean production or teaching how to do so.Originality/valueNuancing the existing lean implementation literature, the proposed process model shows that CI routines do not stem from implementing lean operating routines. Rather, the model highlights the importance of active engagement of actors at multiple organizational levels and strong connections between and across levels to change routines and work practices for implementing lean production.
Digital orientation, digital maturity, and digital intensity: determinants of financial success in digital transformation settings
Authors: Nasiri Mina , Saunila Minna , Ukko Juhani 
Published: August 2022

PurposeThis study aims to investigate three relevant antecedents of digital transformation (digital orientation, digital intensity and digital maturity) and their influences on the financial success of companies.Design/methodology/approachBuilding on the strategic management and digital transformation literature, five hypotheses are developed to find the relationships between these antecedents and financial success.FindingsDigital orientation and digital intensity alone do not contribute to the financial success of companies. Specifically, digital intensity serves as a negative moderator between digital orientation and financial success, meaning that it reduces the performance effects of digital orientation. Digital maturity acts as a mediator between digital orientation and the financial success of companies and between digital intensity and the financial success of companies.Originality/valueThis research contributes to the literature on strategic management and digital transformation by providing a further understanding of three relevant antecedents of digital transformation (digital orientation, digital intensity and digital maturity) and how they should be positioned alongside digital transformation settings to achieve financial success.
The impact of government subsidies on build-operate-transfer contract design for charging piles in circular economy
Authors: Ding Peiqi , Xia Weili , Zhao Zhiying , Li Xiang 
Published: August 2022

PurposeBuild-operate-transfer (BOT) contracts are widely used in the construction and operation of charging piles for new energy vehicles worldwide and stipulate that governments grant charging pile operators franchises for a certain period of time to invest in the construction and operation of the charging piles. The charging piles are then transferred to governments when the concession expires. To encourage charging pile operators to build and operate charging piles, governments usually provide two kinds of subsidies, namely construction and operating subsidies.Design/methodology/approachThe authors establish a typical game model to study the optimal BOT contract between a government and a charging pile operator and their preferences for the two kinds of subsidies.FindingsFirst, the authors show that there are substitution and complementarity effects between the concession period and the subsidy level. Second, the operator prefers the construction subsidy (operating subsidy) when the additional operating cost is low (high). The government prefers the operating subsidy (construction subsidy) when consumer sensitivity to the number of charging piles is low (high) and the concession period is short or long (moderate). Finally, the adjusted joint subsidy can not only improve social welfare but also that the charging pile operator can obtain the same profit as under the operating subsidy at a lower subsidy amount.Originality/valueThis work develops the first analytical model to study two subsidies in the construction and operation of charging piles and investigate the optimal BOT contract and subsidy preferences. The insights are compelling not only for the charging pile operator but also for policymakers in practice from a circular economy perspective.
The impact of eudaimonic well-being on experience and loyalty: a tourism context
Authors: Al-okaily Nour Salah , Alzboun Nidal , Alrawadieh Ziad , Slehat Muna 
Published: August 2022

Purpose
The effects of travel motivation and emotional experience on both tourist satisfaction and destination loyalty are recognized and have been extensively researched as key factors in tourism success. However, the structural relationships between these factors, considering the mediating effects of eudaimonic well-being (optimal psychological functioning), have been scarcely investigated in the consumer tourist behaviors literature. This study aims to develop an integrated model explaining the impact of travel motivation and emotional experience on tourist satisfaction and destination loyalty, mediated by eudaimonic well-being in the realm of domestic tourism.

Design/methodology/approach
A quantitative survey was conducted with 321 domestic tourists visiting Aqaba in Jordan; structural equation modeling was used to analyze the empirical data.

Findings
The findings of this study indicate that both travel motivation and emotional experience have a direct effect on eudaimonic well-being and that eudaimonic well-being has a direct effect on both tourist satisfaction and destination loyalty. Additionally, travel motivation and emotional experience have significant indirect impacts on post-consumption behaviors mediated by eudaimonic well-being.

Originality/value
This study contributes to the literature on consumer behavior in a tourism context by developing a fresh model that improves theoretical knowledge of the relationships between travel motivation, emotional experience and eudaimonic well-being, which underlie tourist satisfaction and destination loyalty formation. This study also advances theoretical understanding of the key roles of eudaimonic well-being in the tourist experience. Managerial implications of these findings are discussed.
The moderating role of eco-destination image in the travel motivations and ecotourism intention nexus
Authors: Chi Nguyen Thi Khanh , Pham Hanh 
Published: August 2022

PurposeThis study investigates the moderating effect of eco-destination image on the relationships between travel motivations and ecotourism intention.Design/methodology/approachThe study employs the convenience sampling method to develop a research sample, and the multivariate data analysis method to analyse the data of 435 valid observations collected in the structured questionnaire survey conducted in Vietnam.FindingsThe paper reports that the eco-destination image significantly strengthens the effects of four travel motives (i.e. excitement, escape, knowledge-seeking and self-development) on ecotourism intention. However, the moderating impact of eco-destination image on the link between socialising motive and ecotourism intention is insignificant.Originality/valueThis study is the first to shed light on the role of eco-destination image in strengthening the effects of travel motivations on ecotourism demand. The study provides a framework for segmenting promotion materials associated with destination image based on different types of customers' internal travel motivations. The framework includes four dimensions: (1) destination image reflecting enablers of excitement, (2) destination image reflecting enablers of escaping from daily life routine, (3) destination image reflecting enablers of knowledge-seeking and (4) destination image reflecting enablers of personal development.
Impact of auditor characteristics and Covid-19 Pandemic on KAMs reporting
Authors: Hegazy Mohamed Abdel Aziz , El-Haddad Rasha , Kamareldawla Noha Mahmoud 
Published: August 2022

Purpose
This paper aims to investigate how auditors’ characteristics affect key audit matters (KAMs) in the new audit report. It also provides an understanding of the effect of the COVID-19 pandemic on different audit reporting decisions and audit quality in specific industries.

Design/methodology/approach
The paper uses a survey based on actual audit case studies extracted from the management letters of clients in an audit firm with international affiliation to test the proposed hypotheses. Kruskal–Wallis and Mann–Whitney tests are conducted to analyze variance in responses among different groups of auditors regarding their selection of audit report sections required for each audit matter. The Wilcoxon signed rank test analyses difference in the auditors’ responses pre- and post-COVID-19 implications.

Findings
Most of the developed hypotheses were only partially accepted where industry specialization, professional qualifications of the auditors and the effects of COVID-19 had some effects on the ability of auditors to recognize and disclose KAMs. Auditor position is the most factor that significantly influenced the recognition of KAMs in the new audit report resulting in higher audit quality. This was specially the case with auditors specializing in manufacturing and financial institutions.

Originality/value
The current research illustrates that during the pandemic, auditors were more effective in recognizing KAMs compared to other audit matters, thus enhancing users’ confidence in both the audit and the financial reporting processes. The results are useful to regulators and auditors as they provide a better understanding of the factors that may impact communicating KAMs in the new audit report under COVID-19.
Machine vs human translation: a new reality or a threat to professional Arabic–English translators
Authors: Muftah Muneera 
Published: August 2022

PurposeHow closely does the translation match the meaning of the reference has always been a key aspect of any machine translation (MT) service. Therefore, the primary goal of this research is to assess and compare translation adequacy in machine vs human translation (HT) from Arabic to English. The study looks into whether the MT product is adequate and more reliable than the HT. It also seeks to determine whether MT poses a real threat to professional Arabic–English translators.Design/methodology/approachSix different texts were chosen and translated from Arabic to English by two nonexpert undergraduate translation students as well as MT services, including Google Translate and Babylon Translation. The first system is free, whereas the second system is a fee-based service. Additionally, two expert translators developed a reference translation (RT) against which human and machine translations were compared and analyzed. Furthermore, the Sketch Engine software was utilized to examine the translations to determine if there is a significant difference between human and machine translations against the RT.FindingsThe findings indicated that when compared to the RT, there was no statistically significant difference between human and machine translations and that MTs were adequate translations. The human–machine relationship is mutually beneficial. However, MT will never be able to completely automated; rather, it will benefit rather than endanger humans. A translator who knows how to use MT will have an opportunity over those who are unfamiliar with the most up-to-date translation technology. As MTs improve, human translators may no longer be accurate translators, but rather editors and editing materials previously translated by machines.Practical implicationsThe findings of this study provide valuable and practical implications for research in the field of MTs and for anyone interested in conducting MT research.Originality/valueIn general, this study is significant as it is a serious attempt at getting a better understanding of the efficiency of MT vs HT in translating the Arabic–English texts, and it will be beneficial for translators, students, educators as well as scholars in the field of translation.
Plant and microbial community composition jointly determine moorland multifunctionality
Authors: Sasaki Takehiro , Ishii Naohiro I. , Makishima Daichi , Sutou Rui , Goto Akihito , Kawai Yutaka , Taniguchi Hayami , Okano Kunihiro , Matsuo Ayumi , Lochner Alfred , Cesarz Simone , Suyama Yoshihisa , Hikosaka Kouki , Eisenhauer Nico 
Published: August 2022

Abstract

Understanding how ecosystem multifunctionality is maintained in naturally assembled communities is crucial, because human activities benefit from multiple functions and services of various ecosystems. However, the effects of above‐ and below‐ground biodiversity on ecosystem multifunctionality in alpine and boreal moorland ecosystems remain unclear despite their potential as global carbon sinks.

Here we evaluated how ecosystem multifunctionality related to primary production and carbon sequestration, which are crucial for global climate regulation, is maintained in natural systems. We disentangled the relationships between diversity and composition of plants and soil microbes (fungi and bacteria) and ecosystem multifunctionality in subalpine moorlands in northern Japan.

We found that microbial composition primarily regulated carbon sequestration, whereas plant taxonomic and functional composition were related to all functions considered. Plant and microbial α diversity (diversity within local communities) were not generally related to any single function, highlighting the important roles of specific plant and microbial taxa in determining ecosystem functioning. When single functions were aggregated to ecosystem multifunctionality within local communities, plant and microbial community composition rather than diversity regulated ecosystem multifunctionality. We further found that plant and bacterial taxonomic β diversity (taxonomic turnover between local communities) primarily regulated the dissimilarity of ecosystem multifunctionality between local communities.

Synthesis. We provide observational evidence that plant and microbial community composition rather than diversity are essential for sustaining subalpine moorland multifunctionality. Furthermore, plant and bacterial β diversity enhance the dissimilarity of moorland multifunctionality. Our study provides novel insights into biodiversity–ecosystem multifunctionality relationships occurring in nature, and helps to sustain desirable ecosystem functioning to human society.
Diet preferences based on sequence read count: The role of species interaction in tissue bias correction
Authors: Zhu Di , Wu Feng , Li Hailong , Wang Tianming , Bao Lei , Ge Jianping , Wang Hongfang 
Published: August 2022

AbstractHigh‐throughput sequencing and metabarcoding techniques provide a unique opportunity to study predator–prey relationships. However, in animal dietary preference studies, how to properly correct tissue bias within the sequence read count and the role of interactions between co‐occurring species in metabarcoding mixtures remain largely unknown. In this study, we propose two categories of tissue bias correction indices: sequence read count number per unit tissue (SCN) and its ratio form (SCN ratio). By constructing plant mock communities with different numbers of co‐occurring species in metabarcoding mixtures and conducting feeding trails on captive sika deer (Cervus nippon), we demonstrate the features of the SCN and SCN ratio, evaluate their correction effects and assess the role of species interactions during tissue bias correction. Tissue differences between species are defined as the differential ability to generate sequence counts. Our study suggests that pure tissue differences among species without a species interaction is not an optimal correction index for many biomes with limited tissue differences among species. Species interactions in mixtures may amplify tissue differences, which is beneficial for tissue bias correction. However, caution must be taken because varied species interactions among communities may increase the risk of worse correction. Correction effects based on the SCN and SCN ratio are comparable, but the SCN is less influenced by control species than the SCN ratio. Based on our study, several suggestions are provided for future animal diet studies or other high‐throughput sequencing studies containing tissue bias.
The results of internal devaluation policy as a crisis exit strategy: The case of Spain
Authors: Bilbao‐Ubillos Javier , Fernández‐Sainz Ana‐Isabel 
Published: August 2022

AbstractIn line with the orientation of EU economic policy, the Spanish government has favoured a strategy of internal devaluation as a way of adjusting price levels within the currency union and offsetting the fall in competitiveness accumulated over time, as evidenced by the persistent trade deficit. The results of comparative empirical studies indicate that the internal wage devaluation applied in Spain as a crisis exit strategy (in the form of labour reforms and, in general, measures to contain labour costs) does not seem to have attained the desired goals in terms of reducing the relative prices of exports and consolidating a model of growth based on external demand. Indeed, the estimates drawn up show that tailwinds – the depreciation of the euro as a result of the measures taken by the ECB, greater economic activity by trading partners and the fall in the price of oil – exercised a decisive influence in the trends followed by the prices of exports and the balance of trade during the period of crisis management in Spain.
Disproportionate admixture improves reintroduction outcomes despite the use of low‐diversity source populations: population viability analysis for a translocation of the greater stick‐nest rat
Authors: Onley I. R. , White L. C. , Moseby K. E. , Copley P. , Cowen S. 
Published: August 2022

AbstractTranslocation is becoming an increasingly important approach to threatened species conservation. Coupled with the knowledge that maximizing genetic diversity aids population establishment, the growing use of translocations can place unsustainable harvesting pressure on critical and vulnerable source populations. However, adaptive, genetically informed modelling tools such as Population Viability Analysis (PVA) can be used to predict translocation outcomes and optimize harvesting strategies. In this study, we use PVAs for the frequently translocated greater stick‐nest rat (Leporillus conditor) to demonstrate the value of admixing founder populations for translocation, even when one source population is deemed genetically depauperate. This approach not only maximizes genetic diversity in the translocated population but reduces harvesting pressure on critical populations. Further, we show that admixed harvesting ratios can be skewed significantly towards the genetically depauperate population in order to further protect the critical population while still producing favourable outcomes, providing adequate founder numbers are used. As many threatened species are limited to fragmented and bottlenecked populations, these results are broadly applicable to the science of reintroduction biology, and demonstrate the value of PVAs for preliminary translocation planning and species management.
External validation of a surgical mortality risk prediction model for inpatient noncardiac surgery in an Australian private health insurance dataset
Authors: Reilly Jennifer Richelle , Wong Darren , Brown Wendy Ann , Gabbe Belinda Jane , Myles Paul Stewart 
Published: August 2022

AbstractBackgroundWe previously conducted a systematic review to identify surgical mortality risk prediction tools suitable for adapting in the Australian context and identified the Surgical Outcome Risk Tool (SORT) as an ideal model. The primary aim was to investigate the external validity of SORT for predicting in‐hospital mortality in a large Australian private health insurance dataset.MethodsA cohort study using a prospectively collected Australian private health insurance dataset containing over 2 million deidentified records. External validation was conducted by applying the predictive equation for SORT to the complete case analysis dataset. Model re‐estimation (recalibration) was performed by logistic regression.ResultsThe complete case analysis dataset contained 161 277 records. In‐hospital mortality was 0.2% (308/161277). The mean estimated risk given by SORT was 0.2% and the median (IQR) was 0.01% (0.003%–0.08%). Discrimination was high (c‐statistic 0.96) and calibration was accurate over the range 0%–10%, beyond which mortality was over‐predicted but confidence intervals included or closely approached the perfect prediction line. Re‐estimation of the equation did not improve over‐prediction. Model diagnostics suggested the presence of outliers or highly influential values.ConclusionThe low perioperative mortality rate suggests the dataset was not representative of the overall Australian surgical population, primarily due to selection bias and classification bias. Our results suggest SORT may significantly under‐predict 30‐day mortality in this dataset. Given potential differences in perioperative mortality, private health insurance status and hospital setting should be considered as covariables when a locally validated national surgical mortality risk prediction model is developed.