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The purpose of this paper is to empirically determine the key factors influencing the US consumers’ intentions to use apparel m-commerce.

An enhanced consumer’s apparel m-commerce adoption model was developed through integrating the existing e-commerce/m-commerce theories (i.e. theory of reasoned action, Technology acceptance model and diffusion of innovation theory). The investigated factors included nine independent variables – perceived usefulness (PU), perceived ease-of-use, subjective norm (SN), personal innovativeness traits, security and privacy concerns, compatibility, observability, trust and past non-store shopping experience (PE), and five control variables – age, gender, education level, income level and ethnicity. The dependent factor is consumer’s intention to use (IU) apparel m-commerce. The primary data were gathered by an online survey of US consumers via Amazon Mechanical Turk. In total, 317 eligible responses were received. The applied statistical techniques were factor analysis and multiple regression analysis.

The results show that the US consumer’s IU apparel m-commerce is significantly affected by PU, SN, compatibility and PE and education level. Overall, 67.3 percent of variation in the US consumer’s IU apparel m-commerce is explained by the developed model, which suggests a high explanatory power.

Companies should provide those functions and features on their mobile websites that enable consumers to easily find the products wanted and complete transactions efficiently. Companies should particularly target the consumers with innovativeness traits and/or those having prior non-store shopping experience. Enhancing the trust in m-commerce among the US consumers with higher education level could help companies attract more potential users. Elderly, female or lower income consumers could be the next business opportunities for apparel e-tailers.

As one of the first efforts made to understand the emerging apparel m-commerce phenomenon, this study empirically determined the key factors influencing the US consumer’s IU apparel m-commerce.

Prior research on interfirm collaborations has demonstrated that trust and contract are two central governance mechanisms that influence a firm’s knowledge sharing decision and the subsequent effect on performance. However, we know little about how effective these mechanisms are in different market conditions and levels of organizational innovativeness. This study aims to advance the literature on interfirm knowledge sharing by exploring these contingencies and by providing an alternative explanation of the contradictory effects of knowledge sharing on firm performance.

The authors collected 156 firms’ relationships with their suppliers in two batches from 300 firms in the 2017 list of Statistics in the Zhejiang province in China. The authors used unstructured interviews and formal questionnaires to collect data from these firms.

Market turbulence served as a boundary condition for the effect of interfirm trust and formal contracts on knowledge sharing. Both interfirm trust and formal contracts, as governance mechanisms, are effective in raising interfirm knowledge sharing only when the firms operate in high turbulent markets. On the contrary, knowledge sharing negatively affected firm performance when firms exhibit low organizational innovativeness. Moreover, a three-way interaction among market turbulence, organizational innovativeness and knowledge sharing revealed that when market turbulence and organizational innovativeness were both low, interfirm knowledge sharing was detrimental to firm performance.

Based on the results, this study recommends managers consider external (market turbulence) and internal (organizational innovativeness) when firms decide to share knowledge and benefit from such activities.

This study extends prior research on the determinant of knowledge sharing and clarifies the inconsistent findings of knowledge sharing on firm performance. Thus, strategic organizational leaders need to pay attention to when they need to share information with suppliers to best benefit from those collaborations.

Given the recent rapid economic development, the processes of industrialization and urbanization are accelerating. At the same time, the contradiction between environmental quality and economic development has become increasingly prominent and is likely to restrict the normal pace of China’s economic development and environmental protection. As such, the purpose of this paper is to incorporate the urbanization factor into an analytic framework to discuss the relationship among urbanization, economic development, and environmental pollution.

A panel data of 31 Chinese provinces from 2004 to 2015 is selected for this research. A spatial correlation test is first conducted on the environmental pollution status, then the spatial Durbin model is used to carry out spatial econometric testing of the relationship among the above three factors.

Interprovincial environmental pollution in China has significant positive spatial correlation, environmental pollution discharge in most provinces is significantly stable, discharge of environmental pollutants is transitioning from coastal to inland provinces, and urbanization and economic growth can both aggravate environmental pollution, but economic growth can relieve environmental pollution in neighboring provinces.

The relationship between economic growth, urbanization, and environmental quality has always been an important issue for sustainable development. As such, China’s urbanization leads to economic development, while rapid economic growth and environmental pollution are coordinated. This paper focuses on the specific relationship between them. To this end, local governments make concerted efforts to formulate sound environmental regulation policies based on local environmental conditions, where economic development is an effective means of alleviating the contradictory relationship between economic development and environmental protection.

Paying to view others' answers is a new mode for question and answer (Q&A) platforms. The purpose is to build a model to explore the determinants of the number of listeners and further explore certain meaningful characteristics of the model in the context of different types of questions and answerers.

The authors develop an empirical model and use real panel data to test the hypothesis. Specifically, cues from the answerer and from the question elicit the listener's trust in the answerer (including direct and indirect trust) and perceived value in the question (including intrinsic and extrinsic attributes), respectively.

The authors find that cues from answerers (experience for paid Q&As and popularity for free Q&As) and questions (length, sentence structure, value and number of likes) all have positive effects on the number of listeners. The impact of answerer authentication is more significant than the popularity of free Q&As. Moreover, the length of the question matters only for subjective questions, while sentence structure matters only for objective questions. In addition, the answerer's own attributes and the behavior and feedback of others have greater impacts when the answerer is below average in popularity.

The authors summarize the unique features of the mode of paying to view others' answers in contrast with the traditional mode of paid Q&As. In addition, the authors focus on the characteristics of the question (including the subjectivity and the sentence structure of the question), a topic which has not been studied previously. Our research provides a reference for exploring user behavior patterns. The practical implications for knowledge platforms are also concretely described.

We investigate the extended service strategy choices of competing manufacturers and examine their impact on the retail platform.

We construct a supply chain model with a retail platform as the leader and manufacturers as the followers. Manufacturers face differential consumer preferences on the same agency retail platform, and they can sell a bundled extended service product and sell a separate product without any extended service.

The sale of extended warranty services on the retail platform leads to lower pricing of the manufacturers' products and changes in the product market structure in response to differences in consumer preferences. The retailing platform tends to provide an extended warranty conditionally. The sale of extended warranty services on a retail platform would be detrimental to the interests of the manufacturer who sells products with extended warranty services and in favor of the manufacturer who sells products without them.

The equilibrium results of the retail platform’s non-sales and sales of extended warranty services for the no-extended warranty product under the same commission rate and differential commission rate models are discussed, and the product structure of the market is investigated, respectively.

This paper aims to provide a survey of existing literature on the economic impacts of the internet on firm development, and outlines an overall framework of the existing studies. The purpose is to show how the internet affects firm development, which may help policymakers and other researchers to have a better knowledge of existing research characteristics, problems and future directions.

The authors review the studies on the economic impacts of the internet on firm characteristics and external environment, identify the characteristics of the existing literature and problems and discuss the directions of possible future research.

The authors find that the impacts of the internet on firm development mainly display two relevant mechanisms (firm characteristics and external environment), and they can be grouped into six channels (firm innovation, firm business mode, firm performance, firm productivity, firm import and export trade and firm location selection).

This study builds up a framework of how the internet impacts on firm development, which can add value to the future research of firm intelligent transaction modes in the crowd intelligence network.

As the usage of virtual reference services continues to increase, libraries must consider ways to remedy the lack of ability to visually demonstrate during teaching moments when conducting reference transactions over e‐mail, instant messaging or chat, and text messaging. This paper seeks to address these issues.

The paper provides a brief overview of a selection of free tools for screencasting and screen sharing, including Jing, Screencast‐o‐matic, Screencastle, Screenjelly, Dimdim, Yuuguu, and ShowMyPC.

The paper finds that each free tool has its positive and negative features, but with so many accessible options available, most libraries should be able to find a tool that will work for their needs.

The paper offers insight into the strong availability of free tools, many web‐based, for screencasting and screen sharing, providing an overview of the functionality of each.

Many enterprises didn’t ask to involve the module of Quality Management in ERP system, even an enterprise having implemented ERP successfully thought about to implement Quality Information System (QIS) again. A lot of quality information provided by ERP system is wasting. The key of resolving this problem is Quality Process Reengineering based on the modern quality management customer‐oriented and process‐oriented. But at first, quality functions, not only during the conentional manufacturing process but also purchasing and sales & distribution process, must be identified. Then relationship between quality management and these processes will be made clear.

A spare ordering policy is considered for planned maintenance. Introducing the ordering, uptime, downtime, inventory costs and salvage value, we derive the expected cost effectiveness. The problem is to determine jointly the ordering time for a spare and the preventive replacement time for the operating unit which maximize the expected cost effectiveness. Some properties regarding the optimal policy are derived, and a numerical example is included to explain the proposed model.

Process capability indices as an important kind of indices are intended to provide single‐number assessments of the inherent process capability to meet specification limits on quality characteristic(s) of interest. In this paper the condition for the application of process capability indices is analyzed. On the basis of process capability indices, dynamic process capability indices as a new kind of indices to show the current process capability are discussed and the condition for the application of dynamic process capability indices is exhibited. Comparison between process capability index and dynamic process capability index and comparison between D_p and D_pk are made and the conclusions provide the approach for process control. According to the requirement of process capability indices provided by customer, quality control based on process capability indices dynamic process capability indices is ciscussed.