bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of residual clearance after pre-joining and pre-joining scheme optimization in aircraft panel assembly
Authors: Yang Di , Qu Weiwei , Ke Yinglin 
Published: September 2016

Purpose
For the automatic drilling and riveting in panel assembly, gaps between the skin and strangers are inevitable and undesirable. At present, the determination of pre-joining schemes relies on workers’ experience, introducing excessive number and inappropriate locations of pre-joining. This paper aims to present a new method for the evaluation of residual clearances after pre-joining and the pre-joining scheme optimization, providing operation guidance for the workers in panel assembly workshop.

Design/methodology/approach
In this paper, an equivalent gap assembly model for pre-joining is proposed on the basis of the mechanism of variation. This model retains the essential elastic behavior of the key features during the pre-joining operation and calculates the residual clearances in the view of the potential energy. Subsequently, this method is embedded into a Pareto optimality-based genetic algorithm, and the optimal pre-joining schemes are achieved with the consideration of the total residual clearances and the permissive tolerances.

Findings
The equivalent gap assembly model has the capability to predict an acceptable degree of accuracy of the residual clearances and achieve the optimized pre-joining schemes with less number of pre-joining at the same level of residual clearances.

Practical implications
The optimized pre-joining schemes are given in the form of Pareto optimality set, and workers can select suitable results according to their inclination to the quality and efficiency.

Originality/value
The paper is the first to propose the equivalent gap assembly model for the pre-joining operation, which provides for the simplification of the calculation of residual clearances based on the constrained variation principles.
Applicability of EIS for evaluation of corrosion resistance of aluminum flakes
Authors: Amirshaqaqi Naghmeh , Salami-Kalajahi Mehdi , Mahdavian Mohammad 
Published: September 2016

Purpose
The conventional method for evaluation of corrosion resistance of aluminum flakes is based on the volume of evolved hydrogen in acidic and basic environments. This study aims to introduce electrochemical impedance spectroscopy (EIS) as a method to evaluate corrosion resistance of aluminum flakes.

Design/methodology/approach
Aluminum flakes with different surface modifications were compressed to build a disk. Then, the disks were examined by EIS in NaCl solution. Also, the corrosion resistance of the flakes was evaluated by the conventional method.

Findings
The results revealed applicability of EIS for evaluation of corrosion resistance of aluminum flakes.

Originality/value
Application of EIS to evaluate corrosion resistance of aluminum flakes is novel. As it can provide fast, reliable and quantitative estimation of the corrosion resistance of the aluminum flakes in the 3.5 per cent NaCl solution. This medium is highly encountered for the aluminum flakes used in organic coatings, that is why test in NaCl solution is more convenient compared to the conventional methods using acid and alkaline conditions.
Downhole CO2 partial pressure calculation and tubing material selection – a case study of an offshore oil field in the South China Sea
Authors: Yan Wei , Xiang Yong , Li Wenliang , Deng Jingen 
Published: September 2016

Purpose
This paper aims to establish the downhole CO2 partial pressure profile calculating method and then to make an economical oil country tubular goods (OCTG) anti-corrosion design. CO2 partial pressure is the most important parameter to the oil and gas corrosion research for these wells which contain sweet gas of CO2. However, till now, there has not been a recognized method for calculating this important value. Especially in oil well, CO2 partial pressure calculation seems more complicated. Based on Dolton partial pressure law and oil gas separation process, CO2 partial pressure profile calculating method in oil well is proposed. A case study was presented according to the new method, and two kinds of corrosion environment were determined. An experimental research was conducted on N80, 3Cr-L80 and 13Cr-L80 material. Based on the test results, 3Cr-L80 was recommended for downhole tubing. Combined with the field application practice, 3Cr-L80 was proved as a safety and economy anti-corrosion tubing material in this oil field. A proper corrosion parameter (mainly refers to CO2 partial pressure and temperature) can ensure a safety and economy downhole tubing anti-corrosion design.

Design/methodology/approach
Based on Dolton partial pressure law and oil gas separation process, CO2 partial pressure profile calculating method in oil well is proposed. An experimental research was conducted on N80, 3Cr-L80 and 13Cr-L80 material. A field application practice was used.

Findings
It is necessary to calculate the CO2 partial pressure properly to ensure a safety and economy downhole tubing (or casing) anti-corrosion design.

Originality/value
The gas and oil separation theory and corrosion theory are combined together to give a useful method in downhole tubing anti-corrosion design method.
Research on financial services innovations
Authors: Nejad Mohammad 
Published: September 2016

Purpose
The purpose of this paper is to present a systematic overview of the current state of research on innovations in financial services and identifies the areas that have received less attention, and hence offer opportunities for future research.

Design/methodology/approach
An extensive search identified 121 research papers that have studied innovations in financial services from January 1990 to March 2015. A thorough content analysis objectively organized and coded the studies based on various aspects including publication year, focus of study, methodology, unit of analysis, sample, data analysis method, and geographical region. Analysis of the resulting data presents an overview of the research and identifies areas for future research.

Findings
The findings indicate that research on innovations in financial services is diverse and has explored various topics. The findings summarize the research papers with regards to each of the aforementioned aspects and offer researchers directions for future research.

Research limitations/implications
The sample size of 121 articles is an adequate sample size for the purpose of the study and it is in line with similar studies on innovations in other areas. However, future research can expand the study to include more academic journals in addition to reviewing and synthesizing the qualitative aspects of studies and meta-analysis of the identified relationships.

Originality/value
The study is the first to present a holistic overview of the current state of research on innovations in financial services. The findings offer clear directions to researchers for future research and hence can be used to promote research in these areas.
The relationship between credit card attributes and the demographic characteristics of card users in China
Authors: Gan Christopher E.C. , Cohen David A. , Hu Baiding , Tran Minh Chau , Dong Weikang , Wang Annie 
Published: September 2016

Purpose
The purpose of this paper is to investigate the impact that several of these factors have on a consumer’s decision to hold a credit card, as well as those involved in determining the level of credit card limit.

Design/methodology/approach
Potential explanatory variables were identified in the literature, then used to build a binary logit model to test the impact of the card and consumer characteristics on credit card ownership. Data were collected via a structured interview of 409 consumers living in Hebei Province, China.

Findings
The results indicate that convenience in use, level of credit card interest rates, the application process, number of people in the household, a rewards programme, marital status, credit limit and age influence the likelihood of the respondent holding a credit card. Further, an anaylsis shows that the number of credit cards held, duration of holding a credit card, monthly credit card purchasing volume and having a degree at the tertiary level, are significantly and positively related to different levels of credit limit.

Originality/value
In summary, in order to attract more consumers to credit card use, the banks and credit card companies should consider making it more convenient for consumers to use their credit cards. Moreover, banks can increase their networking and degree of cooperation with merchants to increase the acceptance of payment by credit card. The most heavily used businesses such as supermarkets and smaller retailers, where consumers purchase goods frequently, would be good targets for banks’ attention. In addition, banks might also improve credit card reward programmes to make these more efficient and perhaps increase the size of the rewards customers can earn through card use.
Economic growth, inequality and trade in developing countries
Authors: Majeed Muhammad Tariq 
Published: September 2016

Purpose
The purpose of this study is to analytically explore and empirically test the relationships between economic growth, inequality and trade using a panel data set of 65 developing economies from 1965 to 2010.

Design/methodology/approach
This study sets a theoretical framework to explain the growth-trade nexus differentials in the developing economies. The study uses different econometric methods such as General Method of Moments to address the relationship of trade with growth in the presence of high inequalities.

Findings
The study determines the positive effect of trade on growth both in the short-run and in the long-run. However, the growth effect of trade is substantially influenced by the domestic context in terms of the prevalence of high initial inequalities. The study identifies high initial inequalities in developing countries as the likely reason for a negative relationship between trade and economic growth. The trade-growth nexus is significantly negative for the unequal group but strongly significantly positive for the less unequal one.

Practical implications
Those developing economic which mange to ameliorate inequalities are in a better position to compete in an open economy.

Originality/value
The study contributes in the existing literature by answering the question why growth effects of trade are not definitely positive or negative. The findings of the studies may help the policy-makers of developing economies to take the advantage of increasing international trade.
Penetration of MFIs among Indian states: an understanding through macro variables
Authors: Ray Sougata , Mahapatra Sushanta 
Published: September 2016

Purpose
The Indian microfinance industry witnessed one of the fastest growths in the recent times. However, the striking feature of this growth is that the Microfinance Institutions (MFIs) are concentrated only in some specific regions of the country. There is a huge geographical skew in the distribution of the MFIs. In this paper, an attempt has been made to explain these geographical skew by using the macro variables of the states. The objective of the study is to identify the causes for this regional disparity in the growth of MFIs.

Design/methodology/approach
We try to explain the level of penetration of microfinance in the states by using regression models.

Findings
Our analysis suggests that state-level macro factors are significant in explaining the geographical skew. MFIs in India have concentrated in states which are richer, have good rural infrastructure, but lack in adequate banking facility, and have low human capital.

Originality/value
The study provides an insight which would help in framing the necessary regulations to ensure that MFIs operate in all regions of the country.
Domestic policies and external spillovers
Authors: Kandil Magda 
Published: September 2016

Purpose
Using data for a sample of advanced and developing countries, this paper aims to study the responses of monetary growth and the growth of government spending to external spillovers, namely, the growth of exports and imports, movement in the real effective exchange rate and the change in the oil price. The objective is to study movements in domestic policy variables in open economies that are vulnerable to trade and commodity price shocks.

Design/methodology/approach
The analysis evaluates correlations between the responses of the policy variables to external spillovers. Further, the analysis studies the effects of indicators of economic performance on domestic policy responses to various shifts across countries.

Findings
Higher variability of real and nominal growth increases the fiscal policy response to external spillovers with an aim to stem further variability. Monetary policies appear to be more responsive to trend price inflation with an aim to stem further inflationary pressures. Fiscal policy’s reaction to trend price inflation aims at striking a balance between countering potential inflationary pressures, as well as recessionary conditions attributed to the various spillovers.

Originality/value
Overall, the evidence points to the importance of trade and commodity price shifts to the design of domestic policies. Further indicators of economic performance differentiate the degree of policy responses to trade and commodity price developments with a goal to stem inflationary pressures and reduce aggregate uncertainty.
Enhancing supply chain visibility in a pharmaceutical supply chain
Authors: Papert Marcel , Rimpler Patrick , Pflaum Alexander 
Published: September 2016

Purpose
This work analyzes a pharmaceutical supply chain (PSC) in terms of supply chain visibility (SCV). The current good distribution practice (GDP) guideline demands increased visibility from firms. The purpose of this paper is to propose a solution for SCV enhancements based on automatic identification (Auto-ID) technologies.

Design/methodology/approach
The authors qualitatively analyze data from ten case studies of actors in a PSC. A review of Auto-ID technologies supports the derivation of solutions to enhance SCV.

Findings
This work shows that the functionalities of Auto-ID technologies offered by current practical monitoring solutions and challenges created by the GDP guideline necessitate further SCV enhancements. To enhance SCV, the authors propose three solutions: securPharm with passive radio frequency identification tags, transport containers with sensor nodes, and an SCV dashboard.

Research limitations/implications
This study is limited to a PSC in Germany and is therefore not intended to be exhaustive. Thus, the results serve as a foundation for further analyses.

Practical implications
This study provides an overview of the functionality of Auto-ID technologies. In juxtaposition with the influence of the GDP guideline, the use of our Auto-ID-based solutions can help to enhance SCV.

Originality/value
This work analyzes a PSC in Germany, with consideration given to the influence of current legislation. Based on a multiple-case-study design, the authors derive three Auto-ID-based solutions for enhancing SCV.
Understanding the determinants of funders’ investment intentions on crowdfunding platforms
Authors: Kang Minghui , Gao Yiwen , Wang Tao , Zheng Haichao 
Published: September 2016

Purpose
The purpose of this paper is to identify funders’ motivations for investing in crowdfunding. It applies trust theory to propose a research model including three subject measures – fundraiser-related, project-related and platform-related factors. Trust has been categorized into cognitive and affective dimensions to specifically analyze the influential factors.

Design/methodology/approach
Bootstrapping is employed to analyze data collected from respondents with investment experience on equity crowdfunding projects. Structural equation modeling techniques are adopted to examine the factors that influence trust between funders and crowdfunding as well as the outcomes of this trust.

Findings
The results indicate that calculus trust and relationship trust collectively or separately transmit the effect of some antecedents to investment intention. However, there is no evidence indicating the mediating effects of calculus trust and relationship trust on the relationship of structural assurance and value congruence to investment intention.

Practical implications
This paper provides insights for crowdfunding fundraisers on how to build a strong relationship with funders, and it also gives crowdfunding designers advice on how to improve and perfect the platform functions.

Originality/value
This study contributes to a better understanding of the driving forces of calculus and relationship trust and their influence on investment intention. It is also the first to address a funder’s trust using a theoretical model describing the investor intention in crowdfunding and thereby extending the knowledge base of trust theory.
Managing big data in coal-fired power plants: a business intelligence framework
Authors: Chongwatpol Jongsawas 
Published: September 2016

Purpose
Many power producers are looking for ways to develop smarter energy capabilities to tackle challenges in the sophisticated, non-linear dynamic processes due to the complicated operating conditions. One prominent strategy is to deploy advanced intelligence systems and analytics to monitor key performance indicators, capture insights about the behavior of the electricity generation processes, and identify factors affecting combustion efficiency. Thus, the purpose of this paper is to outline a way to incorporate a business intelligence framework into existing coal-fired power plant data to transform the data into insights and deliver analytical solutions to power producers.

Design/methodology/approach
The proposed ten-step business intelligence framework combines the architectures of database management, business analytics, business performance management, and data visualization to manage existing enterprise data in a coal-fired power plant.

Findings
The results of this study provide plant-wide signals of any unusual operational and coal-quality factors that impact the level of NOx and consequently explain and predict the leading causes of variation in the emission of NOx in the combustion process.

Research limitations/implications
Once the framework is integrated into the power generation process, it is important to ensure that the top management and the data analysts at the plants have the same perceptions of the benefits of big data and analytics in the long run and continue to provide support and awareness of the use of business intelligence technology and infrastructure in operational decision making.

Practical implications
The key finding of this study helps the power plant prioritize the important factors associated with the emission of NOx; closer attention to those factors can be promptly initiated in order to improve the performance of the plant.

Originality/value
The use of big data is not just about implementing new technologies to store and manage bigger databases but rather about extracting value and creating insights from large volumes of data. The challenge is to strategically and operationally reconsider the entire process not only to prepare, integrate, and manage big data but also to make proper decisions as to which data to select for the analysis and how to apply analytical techniques to create value from the data that is in line with the strategic direction of the enterprise. This study seeks to fill this gap by outlining how to implement the proposed business intelligence framework to provide plant-wide signals of any unusual operational and coal-quality factors that impact the level of NOx and to explain and predict the leading causes of variation in the emission of NOx in the combustion process.
Knowledge integration with customers in collaborative product development projects
Authors: Eslami Mohammad H. , Lakemond Nicolette 
Published: September 2016

Purpose
This paper aims to address the need for managerial and organizational approaches to knowledge integration with customers in collaborative product development projects. The purpose is to identify the roles of customers in terms of the customer’s knowledge contribution and timing of customer collaboration in the product development process.

Design/methodology/approach
This study is based on a multi-case study approach, comprising four product development projects from two large international suppliers. The cases were selected following the theoretical replication logic. Data consist of interviews, workshops and secondary information. For each of the cases, a within-case analysis was performed followed by a cross-case analysis.

Findings
The study shows that the customer’s knowledge contribution is aligned with the specific requirements of each phase of the product development. Three specific customer roles are identified and connected to the customer’s knowledge contribution and the timing of customer collaboration. The technical capability of the customer and the locus of initiative of the product development project are affecting the prerequisites for knowledge integration with customers.

Research limitations/implications
The study is performed from the perspective of supplier firms. The authors have not been able to capture the perspective of the customer in detail. As it is expected that both customers and suppliers benefit from a systematic knowledge exchange, future studies could examine knowledge contributions in both directions.

Practical implications
The findings can be used to devise effective approaches for collaborative product development with customers related to the customer’s knowledge contribution and the timing of customer collaboration and provide guidance to firms seeking to benefit from knowledge residing at customers.

Originality/value
This is one of the first studies to focus on the integration of customers’ knowledge in product development processes. This paper contributes to the customer–supplier collaboration literature by presenting further insight into customers’ knowledge contributions, the timing of customer collaboration in product development processes and the prerequisites for knowledge integration with customers.
Ethical leadership in the salesforce: effects on salesperson customer orientation, commitment to customer value and job stress
Authors: Schwepker Charles H. , Ingram Thomas N. 
Published: September 2016

PurposeThe purpose of this paper is to attempts to better understand the role of ethical leadership in the business-to-business customer value creation process. Drawing on job demands-resources theory (Bakker and Demerouti, 2007; Demeroutiet al., 2001), this paper develops and tests a model that examines the relationships among ethical leadership, customer orientation, commitment to providing superior customer value and job stress in the salesforce.Design/methodology/approachThe sample includes 408 business-to-business salespeople. Structural equation modeling is used to test the study’s hypotheses.FindingsFindings suggest that ethical leadership directly and indirectly (via customer orientation) influences commitment to providing superior customer value. Furthermore, both ethical leadership and salesperson commitment to providing value directly influence salesperson job stress.Originality/valueThis paper develops and tests a model that examines the relationships among constructs not previously examined, as they relate to business customer value creation.