bluuebunny/crossref_metadata_2025_split huggingface dataset:
Better practice prediction using neural networks: an application to the smartphone industry
Authors: Kwon He-Boong , Roh James Jungbae , Miceli Nicholas 
Published: March 2016

Purpose
– The purpose of this paper is to develop an artificial neural network (ANN) based prediction model via integration with data envelopment analysis (DEA) to provide the means of predicting incremental performance goals. The findings confirm the usefulness of the herein developed prediction approach, based on the results of analyses of time series data from the smartphone industry.

Design/methodology/approach
– A two-stage hybrid model was developed, incorporating sequential measurement and prediction capability. In the first stage, a Chames, Cooper, and Rhodes DEA model is the preprocessor, generating efficiency scores (ES) of decision-making units (DMUs). In the second or follow-on stage, the ANN prediction module utilizes knowledge variables and ES to predict the change in performance needed for a desired level of improvement.

Findings
– This combined approach effectively captured the information contained in the industry’s turbulent characteristics, and subsequently demonstrated an adaptive prediction capability. The back propagating neural network successfully predicted the incremental performance targets of DMUs, which translated the desired improvement levels into actionable performance goals, e.g., revenue and operating income.

Originality/value
– This paper presents an incremental prediction approach that supports better practice benchmarking. This study differentiates itself from previous research by introducing an adaptive prediction method which generates relevant quantity outputs based upon desired improvement levels. The proposed modeling approach integrates performance measurement with a prediction framework and advances benchmarking practices to enable better performance prediction.
Mainstreaming corporate environmental strategy in management research
Authors: Kang Sung-Wook , Lee Ki-Hoon 
Published: March 2016

Purpose– The purpose of this paper is to provide an overview of the current status of corporate environmental strategy (CES) in mainstream business and management literature, and to provide new insights on current studies and future directions for this field of study.Design/methodology/approach– This study performs a systematic literature review of 19,839 papers in selected mainstream management journals and takes 48 CES-focused papers into account for in-depth analysis in the period between 1990 and 2013.Findings– This study shows that the majority of studies have been conducted using data from the USA, focused on a single country, utilized a resource-based view (RBV), and analysed mixed industries. The most popular issue in CES studies is the examination of causality between environmental strategy and a firm’s performance. Second, the stakeholder theory and institutional theory are most frequently used to explain a firm’s motivation to develop CES. A RBV theory is commonly used to explain a firm’s sources in initiating CES. Finally, the results show a lack of comparative studies in mainstream management research.Research limitations/implications– Due to the limited focus of this study, the findings of this paper can be generalized only to the specific group of databases selected for this research for a given period of time.Originality/value– This paper fulfils the need for a comprehensive review of CES literature. It provides a literature review and bibliography for the period between 1990 and 2013 for use by both academics and practitioners.
Best performance modeling using complementary DEA-ANN approach
Authors: Kwon He-Boong , Lee Jooh , Roh James Jungbae 
Published: March 2016

Purpose
– The purpose of this paper is to design an innovative performance modeling system by jointly using data envelopment analysis (DEA) and artificial neural network (ANN). The hybrid DEA-ANN model integrates performance measurement and prediction frameworks and serves as an adaptive decision support tool in pursuit of best performance benchmarking and stepwise improvement.

Design/methodology/approach
– Advantages of combining DEA and ANN methods into an optimal performance prediction model are explored. DEA is used as a preprocessor to measure relative performance of decision-making units (DMUs) and to generate test inputs for subsequent ANN prediction modules. For this sequential process, Charnes, Cooper, and Rhodes and Banker, Chames and Cooper DEA models and back propagation neural network (BPNN) are used. The proposed methodology is empirically supported using longitudinal data of Japanese electronics manufacturing firms.

Findings
– The combined modeling approach proves effective through sequential processes by streamlining DEA analysis and BPNN predictions. The DEA model captures notable characteristics and efficiency trends of the Japanese electronics manufacturing industry and extends its utility as a preprocessor to neural network prediction modules. BPNN, in conjunction with DEA, demonstrates promising estimation capability in predicting efficiency scores and best performance benchmarks for DMUs under evaluation.

Research limitations/implications
– Integration of adaptive prediction capacity into the measurement model is a practical necessity in the benchmarking arena. The proposed framework has the potential to recalibrate benchmarks for firms through longitudinal data analysis.

Originality/value
– This research paper proposes an innovative approach of performance measurement and prediction in line with superiority-driven best performance modeling. Adaptive prediction capabilities embedded in the proposed model enhances managerial flexibilities in setting performance goals and monitoring progress during pursuit of improvement initiatives. This paper fills the research void through methodological breakthrough and the resulting model can serve as an adaptive decision support system.
Exploring academic reputation – is it a multidimensional construct?
Authors: Verčič Ana Tkalac , Verčič Dejan , Žnidar Krešimir 
Published: March 2016

Purpose– The purpose of this paper is to explore the possible congruence of an academic organization’s reputation among various stakeholder groups. A potential measure of reputation that can be applied across multiple stakeholder groups gives an opportunity to compare their perceptions and therefore work toward a consistent reputation. The authors also tested the model of academic reputation as a multidimensional concept.Design/methodology/approach– The qualitative stage included 25 in-depth interviews with members of key stakeholder groups. In the quantitative stage, the initial questionnaire was based on the reputational quotient of academic institutions, comprised of 26 items representing eight dimensions of reputation. It was administered among three key stakeholder groups, the general public (n=400), employees of the business school that was the focus of the study (n=154), and fourth year students of the school (n=446).Findings– Confirmatory factor analysis indicated that criteria applied by various stakeholder groups were similar, but the model of academic reputations as a multidimensional concept was not confirmed. The theoretical assumption of an eight factor solution for the concept of academic institutions was not supported. It seems that, in this particular case, only one main dimension emerged. Theoretically, that implies a general factor determining overall reputations across stakeholders.Research limitations/implications– Future research should apply a new, reduced questionnaire in multiple academic organizations and try to avoid some of the limitations such as differing methods of data collection, and ensure complete anonymity for all respondents.Practical implications– This study offers input for the development of a robust and general questionnaire that could be developed to be used across organizations and their publics.Originality/value– The study demonstrates that reputation is a unidimensional construct and that it should also be measured as such.
Communicative leadership
Authors: Hamrin Solange , Johansson Catrin , Jahn Jody L. S. 
Published: March 2016

Purpose– The purpose of this paper is to enhance the knowledge of how leadership concepts are embraced by leadership actors and perceived to influence relationships between leaders and co-workers. Specifically, the authors aim to investigate how leaders and co-workers discursively construct the concept of “communicative leadership” and its practices and perceive that communicative leadership influences relationships, work processes, and agency.Design/methodology/approach– The authors analyzed interviews with leaders and co-workers in two Swedish business organizations about their understandings and experiences of leadership.Findings– Communicative processes that enhance co-worker agency, defined as a capacity to act; include: facilitating autonomy, sharing responsibility, and mutual participation. Relational and discursive leadership processes such as responsiveness and dialogue were seen to enhance mutual participation in both organizations. Broader Swedish cultural macro discourses shaped the leader/co-worker relationship, making agency a relational accomplishment rather than an individual phenomenon.Research limitations/implications– This study relies on data from individual and focus group interviews, rather than direct observation of leadership processes.Practical implications– Findings suggest that organizations would benefit from making explicit their goals and expectations for communicative leadership in their respective social and cultural contexts.Originality/value– The authors provide new theoretical and empirical knowledge of leaders’ and co-workers’ discursive construction of a leadership concept; leadership communication research in the Swedish context; empirical research on communicative leadership as an empowering form of leadership communication; and how leadership communication discourse on a micro level is connected to organizational and macro-social cultural levels.
Tuning of GPS aided attitude estimation using evolutionary algorithms
Authors: Poddar Shashi , Hussain Sajjad , Ailneni Sanketh , Kumar Vipan , Kumar Amod 
Published: March 2016

Purpose
– The purpose of this paper is to solve the problem of tuning of EKF parameters (process and measurement noise co-variance matrices) designed for attitude estimation using Global Positioning System (GPS) aided inertial sensors by employing a Human Opinion Dynamics (HOD)-based optimization technique and modifying the technique using maximum likelihood estimators and study its performance as compared to Particle Swarm Optimization (PSO) and manual tuning.

Design/methodology/approach
– A model for the determination of attitude of flight vehicles using inertial sensors and GPS measurement is designed and experiments are carried out to collect raw sensor and reference data. An HOD-based model is utilized to estimate the optimized process and measurement noise co-variance matrix. Added to it, few modifications are proposed in the HOD model by utilizing maximum likelihood estimator and finally the results obtained by the proposed schemes analysed.

Findings
– Analysis of the results shows that utilization of evolutionary algorithms for tuning is a significant improvement over manual tuning and both HOD and PSO-based methods are able to achieve the same level of accuracy. However, the HOD methods show better convergence and is easier to implement in terms of tuning parameters. Also, utilization of maximum likelihood estimator shows better search during initial iterations which increases the robustness of the algorithm.

Originality/value
– The paper is unique in its sense that it utilizes a HOD-based model to solve tuning problem of EKF for attitude estimation.
Longitudinal parameter estimation from real flight data of unmanned cropped delta flat plate configuration
Authors: Saderla Subrahmanyam , R Dhayalan , Ghosh Ajoy Kanti 
Published: March 2016

Purpose
– The purpose of this paper is to describe the longitudinal aerodynamic characterization of an unmanned cropped delta configuration from real flight data. In order to perform this task an unmanned configuration with cropped delta planform and rectangular cross-section has been designed, fabricated, instrumented and flight tested at flight laboratory in Indian Institute of Technology Kanpur (IITK), India.

Design/methodology/approach
– As a part of flight test program a real flight database, through various maneuvers, have been generated for the designed unmanned configuration. A dedicated flight data acquisition system, capable of onboard logging and telemetry to ground station, has been used to record the flight data during these flight test experiments. In order to identify the systematic errors in the measurements, the generated flight data has been processed through data compatibility check.

Findings
– It is observed from the flight path reconstruction that the obtained biases are negligible and the scale factors are almost close to unity. The linear aerodynamic model along with maximum likelihood and least-square methods have been used to perform the parameter estimation from the obtained compatible flight data. The lower values of Cramer-Rao bounds obtained for various parameters has shown significant confidence in the estimated parameters using maximum likelihood method. In order to validate the aerodynamic model used and to increase the confidence in the estimated parameters a proof-of-match exercise has been carried out.

Originality/value
– The entire work presented is original and all the experiments have been carried out in Flight laboratory of IITK.
Conceptualising social media support for tacit knowledge sharing: physicians’ perspectives and experiences
Authors: Panahi Sirous , Watson Jason , Partridge Helen 
Published: March 2016

PurposeThis paper aims to explore the potential contributions of social media in supporting tacit knowledge sharing, according to the physicians’ perspectives and experiences.Design/methodology/approachAdopting a qualitative survey design, 24 physicians were interviewed. Purposive and snowball sampling were used to select the participants. Thematic analysis approach was used for data analysis.FindingsThe study revealed five major themes and over 20 sub-themes as potential contributions of social media to tacit knowledge flow among physicians. The themes included socialising, practising, networking, storytelling and encountering. In addition, with the help of the literature and the supporting data, the study proposed a conceptual model that explains the potential contribution of social media to tacit knowledge sharing.Research limitations/implicationsThe study had both theoretical (the difficulty of distinguishing tacit and explicit knowledge in practice) and practical limitations (small sample size). The study findings have implications for the healthcare industry whose clinical teams are not always physically co-located but must exchange their critical experiential and tacit knowledge.Originality/valueThe study has opened up a new discussion of this area by demonstrating and conceptualising how social media tools may facilitate tacit knowledge sharing.
The relationship between face to face social networks and knowledge sharing: an exploratory study of manufacturing firms
Authors: Al Saifi Said Abdullah , Dillon Stuart , McQueen Robert 
Published: March 2016

PurposeThis paper aims to explore the relationship between face-to-face social networks and knowledge sharing.Design/methodology/approachQualitative data gathered through 25 semi-structured interviews in five manufacturing firms were collected and analysed. A grounded theory approach was used to analyse the data, which was supported through NVivo qualitative data analysis software.FindingsThe results reveal that face-to-face social networks facilitate knowledge sharing in diverse ways. These include the use of multiple communication styles, brainstorming and problem-solving, learning and teaching, training, consultations and employee rotation.Practical implicationsThe findings of this research are expected to help practitioners to comprehend the big picture and scope of the steps they take to facilitate knowledge sharing in organisations. Viewing knowledge sharing from a holistic perspective can help practitioners comprehend how face-to-face knowledge sharing fits with and complements other knowledge-sharing channels, such as electronic social media and document repositories. In addition, through face-to-face social networks, practitioners can leverage work groups to increase knowledge sharing, meaning that potential cost savings and improved work practices can be achieved.Originality/valueFor researchers, three new models are developed which provide new insights into the nature of the relationship between face-to-face social networks and knowledge sharing. The first model relates to brainstorming and problem-solving, the second to knowledge levels and the direction of learning and teaching and the third to factors influencing social networks and knowledge sharing.
Benchmarking parties’ obligations in the execution of concession-based PPP projects in Nigeria
Authors: Opawole Akintayo , Jagboro Godwin Onajite 
Published: March 2016

Purpose
Demand–supply matrices with adverse consequences has occasioned government response to concession initiatives in infrastructure in Nigeria. However, concession-based projects have been trailed by administrative and legal controversies. While this scenario has negatively impacted the acceptability of a concession contract, there is, nevertheless, a paucity of research effort aimed at developing a sustainable framework. The purpose of this paper is to develop a conceptual framework for the evaluation and allocation of obligations of parties, thereby enhancing the synergy and cooperation between the public and private sector organization.

Design/methodology/approach
Data were obtained through a questionnaire administered to professionals in concession-based contracts in southwestern Nigeria, which included architects, estate surveyors, quantity surveyors, engineers and builders, accountants/bankers/economists and lawyers. The respondents were selected using random and respondent driven sampling approaches. The questions were structured to ensure that the respondents have appropriate experience in concession-based projects and hold appropriate positions as decision-makers so as to give credence to the collected data.

Findings
The study identified 47 contractual obligations in the specific context of developing countries. Based on “half-adjusting principle”, 13 of the obligations notably cost of land acquisition and cost of social disturbances were allocated to the public party; 18 of the obligations notably project design and cost of feasibility study were allocated to the private party; and 16 of the obligations including preparation of terms of a contract and relocation of third party facilities were shared by the parties.

Originality/value
The framework benchmarked the categorization of public and private parties’ obligations in concession-based public–private partnership (PPP) contracts. The study has the implication for the evaluation and allocation of obligations of parties, which could mitigate the risk of failure of PPP projects in relation to the specific context of developing countries.
Challenges, motivations, and desires of downtown revitalizers
Authors: Mowery Kara , Novak Mathew 
Published: March 2016

Purpose
This study aims to identify the motivations, challenges and desires of the various actors working in contemporary downtown revitalization in mid-sized cities.

Design/methodology/approach
Using Spokane, Washington, as a case study, 24 semi-structured interviews were conducted with key players in downtown redevelopment, including public administrators, private developers and non-profit representatives.

Findings
Results indicate that those conducting renewal projects are primarily motivated by economics, but additionally cite heritage preservation values and community development as significant factors. Moreover, contemporary renewal projects are found to be small-scale endeavours, undertaken by individual private investors, as government involvement has significantly diminished. Revitalizers tended to express frustration with a lack of investor and public awareness regarding renewal opportunities, suggesting that increased information dissemination might promote further renewal work within mid-sized urban downtowns.

Originality/value
Findings provide insight into issues with neoliberal policies in addressing contemporary urban issues, and suggest a more nuanced understanding of contemporary urban development processes beyond the narrowly defined profit-driven paradigm.
Residents’ perception toward tourism development: a pre-development perspective
Authors: Rasoolimanesh S. Mostafa , Jaafar Mastura 
Published: March 2016

Purpose
This paper aims to investigate the positive and negative perceptions of residents towards tourism development in Bujang Valley (Lembah Bujang), an underdeveloped rural area that is targeted for world heritage site inscription because of its archaeological value.

Design/methodology/approach
A questionnaire survey was conducted to collect data among residents and 143 questionnaire were returned.

Findings
The results demonstrated that the residents of Bujang Valley have generally positive perceptions towards tourism development and are agreeable with supporting tourism development. Moreover, these results were highly correlated with one another, with residents’ positive perceptions having a positive effect on their support for tourism development, and negative perceptions have a negative effect on their support for tourism development.

Practical implications
The findings of this study can assist the Bujang Valley local authorities to improve the support and participation of residents in tourism planning and conservation programmes, thereby contributing to sustainable development.

Originality/value
This study contributes to the resident perception literature by examining the effects of residents’ perceptions on their support for tourism in an underdeveloped rural area in the developing world.
Opportunities for reducing socioeconomic inequalities in the mental health of children and young people – reducing adversity and increasing resilience
Authors: Roberts Jillian , Donkin Angela , Marmot Michael 
Published: March 2016

Purpose– Poor mental health and well-being disproportionately affects vulnerable and disadvantaged children and young people. The paper aims to discuss this issue.Design/methodology/approach– The focus of this paper is socioeconomic inequalities in perinatal, child and adolescent mental health.Findings– Children and young people in the poorest British households are up to three times more likely to develop mental health problems than their more advantaged peers (Greenet al., 2005). The pattern can also be observed in the opposite direction, with poor mental health known to contribute to socioeconomic and other health problems (McCulloch and Goldie, 2010, Parckar, 2008). At a larger scale, the higher the level of inequality within developed countries, the higher the rate of child and adolescent mental health problems (Pickettet al., 2006).Social implications– Mechanisms posited as underlying such inequalities include family investment and stress processes. These factors have been taken into account when developing the economic case for investing in perinatal, child and adolescent mental health.Originality/value– Illustrative examples of progressive universal strategies and policies to help reduce socioeconomic inequalities in mental health, include: action to address the inequality gap in the UK; early intervention to improve mental health; investing in sustainable and evidence-based mental health services; ensuring parity of esteem, and; using appropriately designed social media and online sources to support children’s mental health.