bluuebunny/crossref_metadata_2025_split huggingface dataset:
Customer orientation: the interactive effect of role clarity and learning goal orientation
Authors: Templer Klaus J. , Kennedy Jeffrey C. , Phang Riyang 
Published: June 2020

PurposeCustomer orientation of service employees relates to customer satisfaction and loyalty, sales growth and business performance. Drawing from conservation of resources (COR) theory, the aim of this study was to test the interactive effects of service employees' role clarity and learning goal orientation on customer orientation. Specifically, it was hypothesized that even under conditions of low role clarity, service employees with high learning goal orientation would maintain a high level of customer orientation.Design/methodology/approachParticipants were 323 employees of 4- and 5-star hotels in Singapore. Using questionnaires, they reported their role clarity, learning goal orientation and customer orientation. For hypothesis testing, moderated regression analysis was performed.FindingsRole clarity and learning goal orientation were significantly related to customer orientation, and in support of the hypothesis, the interaction effect of role clarity and learning goal orientation was also significant. With high role clarity, all employees showed high customer orientation. But with low role clarity, only employees with high learning goal orientation demonstrated high customer orientation.Practical implicationsThe recommendations from this study are to include learning goal orientation as a selection criterion for service employees and to clearly define the roles of existing service employees, especially for those with low learning goal orientation.Originality/valueThe originality and value of this study lies in highlighting the importance of learning goal orientation especially under conditions of low role clarity.
Organizational and legal institutions, and the performance of microfinance institutions as hybrid entities
Authors: Mumi Atthaphon , Joseph George , Quayes Shakil 
Published: June 2020

Purpose
Microfinance institutions (MFIs) play an important role in economic development, with the dual objectives of social outreach and financial self-sufficiency. The purpose of this study is to examine the influence of organizational structure and variations in legal systems on the MFI dual performance goals.

Design/methodology/approach
Using a sample that includes 1,518 MFIs from 105 different countries over a period of 20 years, this study analyzes the data by applying a model that includes six categories of organizational structures and variations of legal systems, including both civil and common law, with accounting performance measures for the dependent variables.

Findings
The analyses provide robust results indicating that MFIs structured as non-governmental organizations (NGOs) have better social outreach than all other types of MFIs and exhibit better financial performance than MFIs registered as commercial banks or credit unions. Legal systems also played a role in MFI effectiveness.

Research limitations/implications
Given the increasing importance of MFIs on economic development globally, this study has relevance on how the impact of MFI structural characteristics and macro-level influences on their dual performance criteria can be translated into management approaches and governance policies that can increase the effectiveness of these dual (i.e. social and financial) goals.

Originality/value
This study is more comprehensive than prior research in addressing the influence of organizational structures of MFIs and legal systems on MFI dual mission, namely, its financial performance and social outreach, thereby increasing our understanding of policy implications in sustaining the MFI’s developmental role.
AI against money laundering networks: the Colombian case
Authors: Garcia-Bedoya Olmer , Granados Oscar , Cardozo Burgos José 
Published: June 2020

Purpose
The purpose of this paper is to examine the artificial intelligence (AI) methodologies to fight against money laundering crimes in Colombia.

Design/methodology/approach
This paper examines Colombian money laundering situations with some methodologies of network science to apply AI tools.

Findings
This paper identifies the suspicious operations with AI methodologies, which are not common by number, quantity or characteristics within the economic or financial system and normal practices of companies or industries.

Research limitations/implications
Access to financial institutions’ data was the most difficult element for research because affect the implementation of a set of different algorithms and network science methodologies.

Practical implications
This paper tries to reduce the social and economic implications from money laundering (ML) that result from illegal activities and different crimes against inhabitants, governments, public resources and financial systems.

Social implications
This paper proposes a software architecture methodology to fight against ML and financial crime networks in Colombia which are common in different countries. These methodologies complement legal structure and regulatory framework.

Originality/value
The contribution of this paper is how within the flow already regulated by financial institutions to manage the ML risk, AI can be used to minimize and identify this kind of risk. For this reason, the authors propose to use the graph analysis methodology for monitoring and identifying the behavior of different ML patterns with machine learning techniques and network science methodologies. These methodologies complement legal structure and regulatory framework.
Estimating numerical scale ratings from text-based service reviews
Authors: Tsao Hsiu-Yuan , Chen Ming-Yi , Campbell Colin , Sands Sean 
Published: June 2020

PurposeThis paper develops a generalizable, machine-learning-based method for measuring established marketing constructs using passive analysis of consumer-generated textual data from service reviews. The method is demonstrated using topic and sentiment analysis along dimensions of an existing scale: lodging quality index (LQI).Design/methodology/approachThe method induces numerical scale ratings from text-based data such as consumer reviews. This is accomplished by automatically developing a dictionary from words within a set of existing scale items, rather a more manual process. This dictionary is used to analyze textual consumer review data, inducing topic and sentiment along various dimensions. Data produced is equivalent with Likert scores.FindingsPairedt-tests reveal that the text analysis technique the authors develop produces data that is equivalent to Likert data from the same individual. Results from the authors’ second study apply the method to real-world consumer hotel reviews.Practical implicationsResults demonstrate a novel means of using natural language processing in a way to complement or replace traditional survey methods. The approach the authors outline unlocks the ability to rapidly and efficiently analyze text in terms of any existing scale without the need to first manually develop a dictionary.Originality/valueThe technique makes a methodological contribution by outlining a new means of generating scale-equivalent data from text alone. The method has the potential to both unlock entirely new sources of data and potentially change how service satisfaction is assessed and opens the door for analysis of text in terms of a wider range of constructs.
The sustainable management design of oxbow lake to determine the factors in lake management in Buluh Cina village, Indonesia
Authors: Susilo Adi 
Published: June 2020

Purpose
The purpose of this study at the level of sustainability of oxbow lake was intended to determine the status of sustainability, leverage attributes and driving factors in the management of oxbow lake in Buluh Cina village in Kampar, Riau, Indonesia.

Design/methodology/approach
The types of data collected include primary data and secondary data. Data was collected using survey methods, library research, laboratory analysis and interviews. The analytical method used this study is multidimensional scaling (MDS) analysis and prospect analysis. Sustainability analysis is done using the MDS analysis approach with the help of RapOxbow software and compared to Monte Carlo analysis results.

Findings
The current sustainability status of the management of Lake Baru ecosystem according to a number of dimensions is considered sustainable with a sustainability index value of 50.95. Meanwhile, the analysis results of each dimension shows that the sustainability index for the ecological dimension is 42.56 and the sustainability index for the economic dimension is 47.44, which means that the index is less sustainable.

Originality/value
The approach of this research is MDS analysis and prospect analysis and research locations in Buluh Cina village in Kampar, Indonesia which have never been studied before. This is one of few studies that investigates comprehensively the analysis of management sustainability, especially in the dimensions of ecology, economics and socio-culture, especially in Indonesia.
Levers of control, complementariness, tensions and budget use: a case study
Authors: Rathnasekara Kaveesha , Gooneratne Tharusha 
Published: June 2020

Purpose
The purpose of this paper is to identify the complementariness and tensions in the use of management control systems diagnostically and interactively, using a budgetary control example, drawing empirical evidence from a clustered firm, “Pattern On”, which is engaged in the manufacture of apparels.

Design/methodology/approach
This paper uses the qualitative methodology and case study approach. Face-to-face in-depth interviews were carried out as the main source of data collection, supplemented by an analysis of internal documents.

Findings
The field data from this study shows that both diagnostic and interactive controls appear in the clusters of PatternOn. However, the extent of use, the way they are perceived by employees, consequences, complementariness and tensions differ among the clusters. It further suggests that interactive and diagnostic controls have their own positive and negative implications on organisational activities. Therefore, rather than ruling one type as superior; what is best depends on the particular organisational circumstances.

Research limitations/implications
This paper is a useful addition to the current body of management accounting literature, particularly to budgeting and to the levers of the control framework and highlights the use of a domain theory in a research study.

Practical implications
It provides insights to practitioners regarding the simultaneous use of controls, diagnostically and interactively, and how any resulting tensions are managed.

Originality/value
Using a budgetary control example, this paper shows how controls are used diagnostically and interactively while emphasising the complementariness and tensions created by such levers. This is important as most prior research has explored diagnostic and interactive use in isolation, while budgetary control, as well as the role of domain theory has not been their focus.
Combined effects of Forchheimer, Soret and Dufour on MHD mixed convective dusty viscoelastic Couette flow in an irregular channel
Authors: M Uma , PA Dinesh , M Girinath Reddy , A Sreevallabha Reddy 
Published: June 2020

PurposeA study on convective aspects was carried out on a Couette flow in an irregular channel by applying a constant uniform magnetic field parallel to the channel flow.Design/methodology/approachThe dynamic study of such a flow resulted in highly nonlinear coupled partial differential equations. To solve these partial differential equations analytically, regular perturbation method was invoked for velocity, temperature and concentration with a combined parameter of Soret and Forchheimer. The numerical computational results have been extracted for various nondimensional parameters with regard to fluid and particle flow as well as for temperature and solute concentration.FindingsThe current article presents a novel approach to assess the effects of drag force as well as the diffusion-based interactions between the velocity, temperature and concentrations with the aid of Soret and Dufour on two-dimensional MHD mixed with a dusty viscoelastic fluid.Originality/valueThe results found are in good agreement with the earlier studies in the absence of nonlinear effect of Forchheimer model.
Empirical investigation of herding in cryptocurrency market under different market regimes
Authors: Kumar Ashish 
Published: June 2020

PurposeOur study focuses on analyzing the trading behaviour of the investors who invest in these currencies to review their trading patterns which may help us to understand the price formation of cryptocurrencies in this market.Design/methodology/approachWe used Chang et al. (2000) measure to calculate herding that is based on cross-section absolute dispersion of stock returns (CSAD). We further analyse the nature of the same in different market regimes, that is up market, down market, high volatile market, low volatile market etc.FindingsApplying different methodologies both static and time varying, we find that herding is pronounced when the market is either passing through stress or has become highly volatile. Anti-herding is found in a less volatile market or in a bullish market.Practical implicationsOur results are also helpful for the policy makers in designing stricter regulations to provide safe investment environment to the investors.Originality/valueOur study in an extension of the literature in same direction and contribute in numerous ways. As the number of digital currencies is growing day by day and we have around 2,200 digital currencies trading across the world, we increased our sample size up to 100 most traded currencies. While majority of the studies cover the period 2015–2018, our study comprises the largest sample size starting from August 2013 to April 2019. We use the static model to find herding and simultaneously try to detect herding under different market regimes: up market and down market.
Leveraging open innovation strategies for fueling eco-innovation performance in dynamic environments
Authors: Cheng Colin C.J. , Shiu Eric C. 
Published: June 2020

PurposeDespite the rising interest in eco-innovation, few studies have examined how open innovation (OI) actually increases eco-innovation performance. Drawing on capabilities theory, this study aims to investigate how two specific organizational capabilities (alliance management capability and absorptive capacity) individually complement OI strategies (inbound and outbound) to increase eco-innovation performance, while taking into consideration high and low levels of environmental uncertainty.Design/methodology/approachTo test the hypotheses, the authors used a primary survey and secondary proxy data sources from 232 Taiwan-based manufacturing firms. The authors collected survey data for measuring OI strategies, followed by secondary proxy data for measuring alliance management capability, absorptive capacity, environmental uncertainty and eco-innovation performance.FindingsThe results indicate that in highly dynamic environments, alliance management capability complements inbound/outbound strategies to increase eco-innovation performance. However, absorptive capacity complements only inbound strategies, not outbound strategies.Practical implicationsThese findings have important implications for managers attempting to increase eco-innovation performance by using OI in dynamic environments.Social implicationsThe findings provide new evidence that configurations of OI alone are not enough for increasing eco-innovation performance. Instead, firms’ eco-innovation benefits more when OI are complemented by alliance management capability.Originality/valueThis study makes an original contribution to the eco-innovation literature by demonstrating how organizational capabilities complement OI to increase eco-innovation performance in dynamic environments.
Balancing coercive and non-coercive powers to enhance green supplier integration: do relationship commitment and closeness matter?
Authors: Zhang Qiansong , Pan Jieyi , Xu Dehui , Feng Taiwen 
Published: June 2020

Purpose
Although the importance of green supplier integration (GSI) has been recognized, the knowledge of how it can be enhanced is still limited. Using insights from transaction cost and resource dependence theories, this paper aims to explore how to balance coercive and non-coercive powers to enhance GSI and the mediating role of relationship commitment and the moderating role of relationship closeness.

Design/methodology/approach
To validate the hypotheses, this study conducted hierarchical regression analysis and bootstrapping using the survey data collected from 206 Chinese manufacturers.

Findings
The results indicate that coercive power undermines normative commitment, while non-coercive power promotes normative and instrumental commitments. Both normative and instrumental commitments enhance GSI. Normative commitment mediates the impacts of coercive and non-coercive powers on GSI, while instrumental commitment only mediates the impact of non-coercive power on GSI. Moreover, supplier trust and dependence negatively moderate the positive link between instrumental commitment and GSI.

Practical implications
Executives should carefully balance coercive and non-coercive powers to encourage firms to maintain good relationships with suppliers and develop common environmental values under different mediating effects of normative and instrumental commitments. However, they should also be aware that high level of trust and dependence can affect the impacts of powers.

Originality/value
This study contributes to GSI literature by opening the “black box” between power and GSI and verifying its boundary conditions.
Drivers of sub-supplier social sustainability compliance: an emerging economy perspective
Authors: Venkatesh V.G. , Zhang Abraham , Deakins Eric , Mani Venkatesh 
Published: June 2020

Purpose
Tragic incidents such as the Rana Plaza building collapse call into question the value and effectiveness of supplier codes of conduct (SCC) used in multi-tier supply chains. This paper aims to investigate the barriers to sub-supplier compliance and the drivers from the perspective of suppliers that adopt a double agency role by complying with buyer-imposed SCC while managing sub-supplier compliance on behalf of the buyer.

Design/methodology/approach
This research adopts a sequential, mixed-methods approach. The qualitative phase develops a conceptual model with the aid of the extant the literature and semi-structured interviews with 24 senior manufacturing professionals. The quantitative phase then uses a hierarchical regression analysis to test the conceptual model using survey data from 159 apparel suppliers based in India.

Findings
The findings reveal that sub-supplier compliance is positively impacted by effective buyer–supplier governance and by the focal supplier having a strategic partnership with the sub-supplier. Conversely, price pressure on sub-suppliers adversely impacts their compliance, while institutional pressure on them to comply is generally ineffective.

Research limitations/implications
The context of the study is limited to the garment industry in India.

Practical implications
To improve SCC compliance rates, buyers and focal suppliers should actively develop strategic partnerships with selected upstream supply chain actors; should set a reasonable price across the supply chain; and, should include specific sub-supplier compliance requirements within the supply contract. The findings also suggest the need to develop social sustainability protocols that are cognisant of regional contexts.

Originality/value
The absence of prior research on SCC implementation by sub-suppliers, this study represents a pioneering empirical study into such multi-tier sourcing arrangements. It provides strong support that sub-supplier governance arrangements differ from those typically found in the focal supplier layer. It also provides empirical evidence of the critical factors that encourage sub-supplier compliance within the apparel industry of a regionally developing economy.
Seismic ground‐roll noise attenuation using deep learning
Authors: Kaur Harpreet , Fomel Sergey , Pham Nam 
Published: June 2020

ABSTRACTWe propose to adopt a deep learning based framework using generative adversarial networks for ground‐roll attenuation in land seismic data. Accounting for the non‐stationary properties of seismic data and the associated ground‐roll noise, we create training labels using local time–frequency transform and regularized non‐stationary regression. The basic idea is to train the network using a few shot gathers such that the network can learn the weights associated with noise attenuation for the training shot gathers. We then apply the learned weights to test ground‐roll attenuation on shot gathers, that are not a part of training input to obtain the desired signal. This approach gives results similar to local time–frequency transform and regularized non‐stationary regression but at a significantly reduced computational cost. The proposed approach automates the ground‐roll attenuation process without requiring any manual input in picking the parameters for each shot gather other than in the training data. Tests on field‐data examples verify the effectiveness of the proposed approach.
Data‐driven rock physics analysis of North Sea tertiary reservoir sands
Authors: Avseth Per , Lehocki Ivan , Kjøsnes Øyvind , Sandstad Odd 
Published: June 2020

ABSTRACTWe have demonstrated an approach for data‐driven rock physics analysis, where we first do facies classification using elastic well log data from several wells, followed by facies‐constrained regression analysis to establish local rock physics relations for the prediction of VP and VS from geological input parameters. We have applied this approach to a multi‐well log data set (53 wells, 40 of which had reliable/useful data) from the greater Alvheim area. We show how we can derive very robust local empirical rock physics relations for the prediction of P‐wave and S‐wave velocities as well as densities, for given combinations of porosity and clay volume. These locally derived empirical relations are recommended instead of universal rock physics models, even when the latter are locally calibrated. Using elastic facies with geological characteristics (cemented versus unconsolidated; normally compacted versus injectites; homogeneous versus heterogeneous) helps to improve the predictability of the regression models. The local rock physics relations that we obtain can furthermore be used to create training data for AVO classification.
Retirees’ perceptions of goal setting: A qualitative study
Authors: Dudley Dorothy , O’Loughlin Kate , Lewis Sophie , Loh Vanessa 
Published: June 2020

AbstractObjectiveTo investigate the language and meanings that retirees give to goals, including their perceptions of the benefits and limitations of pursuing goals in retirement.MethodsIn‐depth interviews and mini‐group discussions were conducted with 60 community‐dwelling Australian retirees aged 57 to 88 years. Data were transcribed and analysed thematically.ResultsResponses to the term ‘goal’ varied by age in relation to the meaning and relevance of the term to retirement planning, largely shaped by the perceived formality and flexibility of goal setting which linked to acceptance or fear of failure when goals were not achieved with three profiles emerging: the Acceptors, the Ambivalent and the Rejectors. Language was highly influential in forming perceptions.ConclusionRetirees’ perceptions about the meaning and usefulness of goals varied greatly, with the language used a key factor in the perceived relevance of goal setting.