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Social media technology has changed donors' decision-making process in online philanthropy compared with traditional charity. How do IT affordances support donor perceptions and motivations in charitable crowdfunding? The purpose of this study is to explore how the five sub-dimensions of charitable crowdfunding IT affordances (i.e. visibility, association, meta-voicing, trading and security) afford initiators and platforms in motivating donors to support charitable crowdfunding projects.

This paper uses a quantitative research approach. An online survey was conducted to collect research data from WeChat users who had experienced charitable crowdfunding. A sample of 344 valid responses were received and analyzed.

The results show that four of the five IT affordances facilitate donors' perceptions (perceived emotions and trust) and motivations (intrinsic motivations and extrinsic motivations), and thereby increase behavioral intention on supporting charitable crowdfunding projects.

This study advances the affordances and online charity literature by examining the antecedents and outcome of perceptions and motivations that determining behavioral intention in more detail. The authors’ findings not only benefit researchers in explaining how technology helps donors perceiving projects and motivating them to donate online, but also assists practitioners in developing better charitable crowdfunding management strategy.

The relationship between exports and productivity has always been a hot topic for scholars, but no unified conclusions have been made by theory and empirical research so far. There is no denying that the relationship between the two is important though, exploring the factors affecting the relationship can bring much more reflection and inspiration.

After using stochastic frontier analysis which includes stochastic factors to calculate total factor productivity, this paper makes regressions on the panel data of Chinese manufacturing industries from 2004 to 2013. In addition, it also tests the roles of industry heterogeneity plays in analyzing the relationships between exports and productivity.

It turns out that in China, exports inhibit the growth of productivity overall, and scale effect is not reflected in the export sector. From the perspective of sub-sectors, exports dampen the productivity significantly in labor-intensive industries, which may be because of low learning ability. In industries with low R&D investment, exports also have significant and negative effects on industry productivity, which is because the R&D capital is not efficient and sufficient to be converted to productivity. In industries with high foreign capital rate, exports prohibit the growth of productivity because of the existence of much processing trade. In industries with low competition pressure, exports hinder the productivity because firms in such industries are possibly not competitive enough to survive in the fierce international market.

To the best of the authors’ knowledge, previous research studies did not take the industry heterogeneity into consideration when discussing the effects of exports on productivity. In this paper, cost types, R&D investment, energy consumption efficiency, export destination, foreign investment rate, state-owned ratio, competition pressure and international competitiveness are all discussed in the analysis of export and productivity. This study provides new insights to help understand the mechanism of export and productivity and the conclusions are of rich policy implications.

Based on the traditional buyback model, this paper aims to propose a new buyback method – the variable buyback contract – to solve the serious inventory backlog in the current economic situation.

In this paper, the authors further study the buyback problem in a two-level supply chain with uncertain demand. Such a problem can be found in many research papers, which also use the Stackelberg game model. They put forward many factors that affect the buyback price, including risk preference, random arrival of consumers, etc. Different from the existing research, the authors propose another factor that may affect supply chain buyback – the retailer's remaining inventory to study the buyback contract.

First, the authors found that under the variable buyback contract, there is an optimal retail price, wholesale price and an optimal range of parameter settings for the buyback price. Second, the proposed Pareto-optimal solution for system improvement can achieve supply chain coordination. Third, under some conditions, the variable buyback contract is better than the wholesale price contract and fixed-price buyback contract.

First, this is the first paper to discuss to measure the buyback price with the retailer's remaining inventory. Second, the proposed buyback contract can help decision-makers to choose the optimal improvement strategies. Third, this contract has a certain practical significance, which can effectively alleviate the current inventory backlog problem.

Installing a tight tolerant stepped shaft is not a trivial task for an industrial robot. If all peg-hole constraints are complete, the cascaded peg-in-hole task can be simplified into several independent stages and accomplished one by one. However, if some of the constraints are incomplete, the cross stage interference will bring additional difficulties. This paper aims to discuss the cascaded peg-in-hole problem with incomplete constraints.

In this paper, the problem is formulated according to geometric parameters of the stepped shaft and completeness of the corresponding hole. The possible jamming type is modeled and analyzed. A contact modeling and control strategy is proposed to compensate the peg postures under incomplete constraints.

The above methods are implemented on an experiment platform and the results verify the effectiveness of the proposed robotic assembly strategy.

Based on force/torque sensor, a hybrid control strategy for incomplete constraints cascaded peg-in-hole assembly problem is proposed.

The purpose of this paper is to report on the results of a study carried out to identify and analyse which potential subject areas may have impact on developments in the field of building maintenance (BM). That is, it is intended to contribute to the integration of new approaches so that building maintenance management (BMM) becomes as automated, digital and intelligent or smartness as possible in the near future.

The research approach has resulted in a theory that is essentially based on a qualitative design. The route followed was a literature review, involving the collection, analysis and interpretation of carefully selected information, mostly from recently published records. The data assembled and the empirical experience itself made it possible to present a comprehensive viewpoint and some future outlooks.

Five thematic areas considered as potentially impactful for BM developments have been highlighted, analysed and generically labelled as thematic base words, which are monitoring, automation, digitalisation, intelligence and smart. It is believed that these may be aspects that will lay the groundwork for a much more advanced and integrated agenda, featured by a high-tech vision.

This is thought to be a different way of looking at the problem, as it addresses five current issues together. Trendy technological aspects are quite innovative and advantageous for BMM, providing opportunities not yet widely explored and boosting the paradigm shift.