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Software developers extensively use stack overflow (SO) for knowledge sharing on software development. Thus, software engineering researchers have started mining the structured/unstructured data present in certain software repositories including the Q&A software developer community SO, with the aim to improve software development. The purpose of this paper is show that how academics/practitioners can get benefit from the valuable user-generated content shared on various online social networks, specifically from Q&A community SO for software development.

A comprehensive literature review was conducted and 166 research papers on SO were categorized about software development from the inception of SO till June 2016.

Most of the studies revolve around a limited number of software development tasks; approximately 70 percent of the papers used millions of posts data, applied basic machine learning methods, and conducted investigations semi-automatically and quantitative studies. Thus, future research should focus on the overcoming existing identified challenges and gaps.

The work on SO is classified into two main categories; “SO design and usage” and “SO content applications.” These categories not only give insights to Q&A forum providers about the shortcomings in design and usage of such forums but also provide ways to overcome them in future. It also enables software developers to exploit such forums for the identified under-utilized tasks of software development.

The study is the first of its kind to explore the work on SO about software development and makes an original contribution by presenting a comprehensive review, design/usage shortcomings of Q&A sites, and future research challenges.

Considering the limitations of supply chain collaboration (SCC) literature, the purpose of this paper is to develop SCC framework and analyze the SCC practice based on the framework. The framework incorporating internal and external knowledge sharing under a collaborative culture (CC) and problem-solving environment preceded by preparedness is required.

To achieve successful collaboration, this paper encompasses problem-solving and performance measurement, preparedness, culture, relationship strength (RS) and gives resource sharing and planning as internal and external focused perspectives. Exploratory methods are used to analyze the data from industries.

CC, RS and preparedness are crucial that reflect the health of collaboration. Three levels of collaboration practice – good, moderate and weak – are prominent where the extent of SCC practice seems weak. Collaborative activities that matter more are identified. Market-based knowledge sharing is important for good and moderate SCC, while weaker collaboration does not focus on it. Interestingly, this paper finds an increasing level of collaboration may not always result in increased performance. Firms from the pharmaceutical, automobile and electrical/electronic industry tended to practice higher collaboration as compared to other industries.

By integrating market-driven management, resource-based view, and contingency theory, the SCC framework gives a new perspective. Joint planning and resource sharing are categorized as internal and external focused functional areas. The paper identifies three profiles of collaboration and discusses the importance of SCC activities in achieving performance.

The dynamic measure of risk problem in a incomplete market is discussed when stock appreciation rates are uncertain. Meanwhile, a related stochastic game problem is studied. The value of a stochastic optimal control is regarded as a reasonable measure of the risk. The form of the optimal objective is obtained by employing the tools of BSDE theory.

This study aims to synthesize and analyze research on the Supply Chain Management Practices (SCMPs)-performance nexus, examine current knowledge, identify emerging trends, and provide plausible suggestions for future research engagements in the manufacturing sector in the context of Developing and Emerging Economies (DEEs).

Following a systematic review approach, this study analyzed 20 peer-reviewed scientific journal articles published between 2007 and 2021. The study sample was systematically selected from the Web of Science (WoS) and Google Scholar databases, following strict evaluation and selection criteria.

Numerous dimensions of SCMPs have been considered in the extant literature; however, six have stood out as the most common. In addition, operational performance stood out as the most widely investigated measure in the SCM literature. Moreover, SCMPs have predominantly shown positive effects on performance outcomes. Methodological issues that future studies should consider are suggested.

The sample size was not sufficiently large relative to the rule of thumb set in the literature because of the scarcity of studies in the manufacturing sector in the DEEs context. Despite these limitations, the results of this study provide crucial insights into knowledge and practice.

This review is the first of its kind to examine the SCMPs-performance nexus in the context of DEEs. Based on the findings of this study, future research directions are proposed.

This paper aims to investigate the influence of structure parameters on giant-magnetoimpedance (GMI) effect measured by non-contact method.

The GMI sensor contains a Co-based internal magnetic core fabricated by laser cutting and an external solenoid. The influences of magnetic permeability of magnetic core and structure parameters on GMI effect were calculated in theoretical model. The output impedance, resistance, reactance and GMI ratio were measured by non-contact method using impedance analyzer.

Enhancing external magnetic field intensity can decrease the magnetic permeability of core, which has vital influences on the magnetic property and the output response of GMI sensor. In addition, increasing the width of magnetic core and the number of solenoid turns can increase the maximum GMI ratio. The maximum GMI ratio is 3,230% with core width of 6 mm and solenoid turns of 200.

Comparing with traditional contact-measured GMI sensor, the maximum GMI ratio and the magnetic field sensitivity are improved and the power consumption is decreased in non-contact measured GMI sensor. GMI sensor measured by non-contact method has a wide range of potential applications in ultra-sensitive magnetic field detection.

This paper aims to investigate magnetic field anneal in micro-patterned Co-based amorphous ribbon on giant magneto-impedance (GMI) effect enhancement.

The amorphous ribbons were annealed in transverse and longitudinal magnetic field. The influence of different field annealing directions on GMI effect and impedance Z, resistance R and reactance X with a series of line width have been deeply analyzed.

In comparison with GMI sensors microfabricated by unannealed and transversal field annealed ribbons, GMI sensor which was designed and microfabricated by longitudinal field anneal ribbon performs better. The results can be explained by the domain wall motion and domain rotation during annealing process and the geometric structure of Co-based GMI sensor. In addition, shrinking the line width of GMI sensor can promote GMI effect significantly because of the effect of demagnetizing field, and the optimum GMI ratio is 209.7 per cent in longitudinal field annealed GMI sensor with 200 μm line width.

In conclusion, annealing in longitudinal magnetic field and decreasing line width can enhance GMI effect in micro-patterned Co-based amorphous ribbon.

In the current literature, there is little systematic research on the relationship among adjustment of the income distribution, change in economic structure and improvement of macroeconomic efficiency.

This paper expands Marx's reproduction schema into the “Marx–Sraffa” three-department structure table comprising fixed capital, general means of production and means of consumption and employs China's input–output table from 1987 to 2015 to portray the relationship between income distribution and macroeconomic efficiency under investment-driven growth.

This paper calculates the wage–profit curve of China's economy and evaluates the space of macroeconomic efficiency improvement in China based on the deviation between actual and potential income distribution structure.

The results show that there is a downward trend of the profit rate, which meets Marx's theoretical prediction, and the decline in the profit rate is mainly attributed to an increase in the organic composition of capital arising from the rapid growth of fixed capital investment under extended growth. The analysis of macroeconomic efficiency shows that the space for improving macroeconomic efficiency is extremely limited under traditional growth pattern and that China must transform its economic development pattern and foster new economic growth drivers.

As a typical creative behavior, creative process engagement (CPE) has received increased attention in recent years. Leadership behaviors such as leader–member exchange (LMX) and leader creativity expectations (LCE) have been found as two key predictive factors of CPE. However, the mechanism underlying this relationship is not well understood. This study aims to clarify how LMX influences follower CPE by considering the interplay among LCE, decision autonomy and task interdependence from an interactionist perspective.

Using a sample of 371 leader–employee dyads from eight enterprises in mainland China, this study conducts a hierarchical regression analysis to test the hypotheses for the proposed model.

Results reveal that the significant two- and three-way interactions where LCE, decision autonomy and task interdependence moderate the relationship between LMX and follower CPE. The relationship between LMX and follower CPE is not significant as expected, but the moderating role of LCE is positive and significant, and the relationship is strongest when conducted with either low task interdependence or high decision autonomy.

Different from previous research that only investigated one certain leadership factor’ effect on employees' innovative behaviors, this study comprehensively considered the combined influence of two related but significantly different connotation leadership factors on follower CPE and found the contingency effect of LCE on the relationship between LMX and follower CPE. Furthermore, the authors found the regional effectiveness of the leadership factor. The effect of leadership factors on follower CPE varies under the influence of different job characteristics, and is conducive to enrich the interactionist view on follower CPE.

The purpose of this study is to investigate the synergism of convection, current density distribution and additives by numerical simulation and electrochemical experiments for good throwing power (TP) of copper electro-deposition in printed circuit board (PCB) manufacture.

The flow field of THs and current density distribution on various AR of THs are calculated and analyzed. Meanwhile, corresponding simulation is used to study the performance of plating electrolytes on TP. Two electrochemical parameters, overpotential (η) and potential difference (△η), are chosen to evaluate the electrochemical properties of different plating solutions by galvanostatic measurement and potentiodynamic cathode polarization at different rotating speeds.

By combining both the results of simulation and practical plating, these two electrochemical properties of electrolytes exhibit significant impact to the system at varied conditions. Especially, the electrolyte with higher polarizing η and △η values lead to the elevated TP for AR of more than 2:1.

The harring cell model is built as a bridge between the theoretical and experimental study for control of uniformity of plating THs in PCB manufacturing. This dual-parameter evaluation is validated to be a promising decisive method to guide the THs plating with particular AR in industry.

China's experience of investing in Latin America in one of the main sectors included in the BRI architecture, railways, has faced significant challenges: only one of four Chinese potential railway projects in Latin America has materialised. The purpose of this paper is to explore these challenges and to provide an explanation focusing on the importance of the “domestic politics” factor.

The paper proposes a comparative study of four cases, developing a qualitative analysis based on an in-depth review of the literature and primary and secondary sources of information.

The findings suggest that domestic politics played a significant role in the outcomes of the Brazil–Peru Bi-Oceanic railway (changes in government), in Argentina's Belgrano Cargas modernisation project (multiple “domestic politics” factors, such as a presidential campaign), in Venezuela's failed Tinaco-Anaco high-speed train project (authoritarian turn/country's stability) and in Mexico's Querétaro-Ciudad de México high-speed train project (corruption and popular contestation). The paper suggests that one should not expect an easy or fast projection of the BRI in the region, at least in the short- and mid-term, because becoming familiar with the domestic politics of Latin American is a complex and gradual task.

The particular impact of the political risks related to domestic politics in the Chinese Foreign Direct Investment (FDI) in Latin America has not been extensively explored, especially in the railway sector. This paper intends to contribute to this literature gap by analysing four cases of Chinese investment in railways in Latin America, an area that has received little attention in the studies of the Chinese FDI in the region, and proposing an explanation of their outcomes focusing on the “domestic politics” factor.