Predicting System Usage from Intention and Past Use: Scale Issues in the Predictors

The objective of this study is to provide insights into how the predictive power for computer‐recorded system usage can be improved. Based on 386 responses from actual users of an information system, we examine the predictive power for system usage according to the scales of the predictors used, namely, intention and past use. First, we show that the predictive power of intention can be significantly improved with the choice of an appropriate measure. However, even the desirable intention measure failed to explain two‐thirds of the variance in system usage. Second, the results show that past use as measured by computer‐recorded log data can significantly enhance our ability to predict system usage. Finally, when both intention and past use are controlled for, the explained variance in system usage is shown to vary widely from 20% to 73%, depending on the predictors' scales. Overall, our findings suggest that an accurate prediction of system usage requires a more rigorous approach than that often applied in information systems research.     

The Use of Computer-mediated Communication in an Interorganizational Context

The rapid growth of global telecommunication networks, and in particular the Internet, has placed emphasis on electronic mail's potential as an interorganizational communication medium allowing people from different organizations to communicate, gather information, form teams, and pass knowledge across time and place. An important area of research is to understand those factors affecting interorganizational computer-mediated communication usage decisions. This study examines how interorganizational electronic mail (email) systems are being used and what factors relate to this use. This was accomplished by electronically surveying a randomly selected sample of interorganizational email users. The 613 Internet-based respondents were located in 20 different countries and were from education, business, and government. This research examines the characteristics of interorganizational email users, their perceptions of task and channel attributes, and the relationship between these characteristics and interorganizational email use. Three empirically derived patterns of interorganizational email use emerged that showed it was regularly used for broadcast, task, and social communication. Broadcast usage, which reflects an informationgathering communication function, most likely through public bulletin boards, electronic discussion groups, and list servers, was the most frequent use of interorganizational email. Multivariate regression tests showed that the three different usage types were best predicted from different sets of independent variables. Results support past claims that there is a need to differentiate among types of use in explaining computermediated communication usage behavior. Implications and recommendations for both researchers and practitioners are drawn from the results.     

The value of acquisition price differentiation in reverse logistics

The quality of returned products may vary greatly, depending on their previous usage. Since the remanufacturing of products in good condition is more economically rewarding for the remanufacturer—and since even for non-remanufacturable products the value that can be extracted from their parts or materials may depend on the products’ quality—it seems logical to acquire used products of different quality levels at different prices. However, acquisition price differentiation requires the product quality to be revealed, i.e. the products are graded before their actual acquisition. We observe two different approaches in current practice. The first one is a decentralized system with several collection sites to which the customers can bring their used products. After a short grading procedure, they receive a specific acquisition price offer for their products, which they can accept or decline directly. The second setting is a reverse logistics system with a centralized grading facility. The final grading is conducted after shipping the used products to this specific facility. Motivated by these empirical observations, we compare the two strategies with the help of a continuous approximation model. We derive analytical expressions for the optimal pricing and network density decision and show that, in addition to the other factors discussed in the literature, acquisition price differentiation can be a reason for decentralizing the reverse logistics network, if the product quality is uncertain. Furthermore, we illustrate our results with a numerical example.     

Reverse Auctions to Innovate Procurement Processes: Effects of Bid Information Presentation Design on a Supplier's Bidding Outcome

Information technologies (ITs) are being used to innovate various procurement processes. This research study focuses on the supplier‐side effects of IT design choices to conduct reverse auctions, which are increasingly used to procure a wide range of products and services. IT–enabled reverse auctions enhance supplier participation across geographical boundaries, leading to more efficient pricing. However, there are growing concerns about the adverse effects of IT–enabled reverse auctions on a supplier's performance. Supplier‐side issues are gaining prominence in the reverse auction literature and are critical for the long‐term success of reverse auctions. Therefore, we focus on suppliers’ bidding outcomes and assess how the design of an IT–enabled reverse auction facilitates the auction bidding outcomes of participating suppliers. Specifically, we examine the effects of two types of bid information presentation design—full price visibility and partial price visibility—on supplier's auction bidding outcomes, across auctions with different cost certainty and suppliers bargaining power vis‐à‐vis the buyer. The results of this study contribute new knowledge about the ways to use IT for creating effective auction designs and innovating procurement through auctions to enhance both the buyer's and suppliers’ performance. We present the detailed theoretical contributions of our study and discuss the managerial implications for designers of reverse auctions.      

Managerial Influences on Intraorganizational Information Technology Use: A Principal-Agent Model

Our current understanding of information technology (IT) usage does not explain why and how managers can influence organizational members to use a new IT. Drawing on principal-agent research, this paper develops and tests a model of intraorganizational IT usage that addresses this important issue. Managerial incentives and control are examined as important components of managerial influences, which are linked to IT usage via a principal-agent model (PAM). Seven research hypotheses are generated from this model and empirically tested using a laboratory experiment. Results of the study indicate that managers can promote IT usage within organizations by designing appropriate incentives and control structures such as monitoring and multiple-period contracts. However, the effectiveness of these structures will depend on potential users' ability to distinguish between various forms of incentives and control.     

Overtime usage in a job shop environment

Problems are encountered in a job shop which has a fixed capacity if the total work content of the jobs passing through the shop increases sufficiently. Even the use of effective priority dispatching rules and/or expediting does not adequately shorten the queues which develop if the total work content continually exceeds shop capacity. To avoid losing job orders because the orders are unduly delayed, the job shop might resort to overtime usage. This study examines the efficient and economic use of overtime to relieve the backlog problem and uses overtime as the basic criterion for evaluation of overtime usage. The study employs GPSS V programming language to simulate a hypothetical job shop. The shop is loaded to various proportions of its normal capacity and various levels of overtime are tested. Findings show that overtime should not be assigned indiscriminately but rather should be based on a shop's unique conditions of overtime cost, the priority rule being employed, and the level of capacity utilization. Marginal benefit-cost ratio curves are developed to determine whether overtime usage is economically reasonable. These curves may also be used to determine the maximum or limiting amount of overtime to use under specific shop conditions.     

服务交易关系与使用程度对转换成本和顾客保留的影响

通过对来自互联网接入和信用卡服务行业的447个消费者样本进行基于结构方程模型的数据分析,考察服务使用程度、转换成本与顾客保留之间的关系,并探讨服务交易关系类型对服务使用程度→转换成本→顾客保留路径的调节作用.研究结果表明,对于独占型和非独占型交易关系的服务,转换成本对顾客保留均具有显著的正影响效应.当顾客与服务企业的交易关系为独占型时,现供应商服务的使用程度和竞争者服务的使用程度两个变量对转换成本的影响都不显著,它们对转换成本的相对影响力也无差异;竞争者服务的使用程度对顾客保留具有显著影响,但现供应商服务的使用程度对顾客保留的直接影响不显著.当顾客与服务企业的交易关系为非独占型时,现供应商服务的使用程度和竞争者服务的使用程度两个变量在影响转换成本和顾客保留中发挥的作用没有明显差别.     

The Impact of Product Lifecycle on Capacity Planning of Closed‐Loop Supply Chains with Remanufacturing

Product recovery operations in reverse supply chains face rapidly changing demand due to the increasing number of product offerings with reduced lifecycles. Therefore, capacity planning becomes a strategic issue of major importance for the profitability of closed‐loop supply chains. This work studies a closed‐loop supply chain with remanufacturing and presents dynamic capacity planning policies developed through the methodology of System Dynamics. The key issue of the paper is how the lifecycles and return patterns of various products affect the optimal policies regarding expansion and contraction of collection and remanufacturing capacities. The model can be used to identify effective policies, to conduct various “what‐if” analyses, and to answer questions about the long‐term profitability of reverse supply chains with remanufacturing. The results of numerical examples with quite different lifecycle and return patterns show how the optimal collection expansion/contraction and remanufacturing contraction policies depend on the lifecycle type and the average usage time of the product, while the remanufacturing capacity expansion policy is not significantly affected by these factors. The results also show that the collection and remanufacturing capacity policies are insensitive to the total product demand. The insensitivity of the optimal policies to total demand is a particularly appealing feature of the proposed model, given the difficulty in obtaining accurate demand forecasts.     

逆向物流网络设计研究进展

随着环境资源压力的增大,政府法制要求以及社会环保要求的提升,研究者对逆向物流网络的研究日益关注。本文系统地对近几年的逆向物流网络设计研究进行回顾,讨论并对比研究了网络设计研究问题,研究方法,定量模型,求解算法以及逆向物流网络设计中不确定环境方面的研究。探讨了逆向物流网络研究中的不足,为研究者未来的研究方向提供了参考。     

Behavioural aspects of marketing information systems

A survey of 84 users of marketing information systems in 33 companies was conducted to determine the relationship between usage of their systems and (i) attitude factors, (ii) perceived organizational factors, (iii) personality dimensions. Principal components analysis was used to derive underlying attitude and organizational factors as measured by responses to a series of statements derived from exploratory research. Personality was measured by means of the Eysenck Personality Inventory. Usage of the system was measured by seven usage variables constructed to capture the various dimensions of usage identified at the exploratory stage of the research. A series of multiple regressions were used to relate the criterion variables (usage dimensions) to each of the predictor variables (attitude factors, perceived organizational factors, and personality). A number of attitude factors, and perceived organizational factors was found to be significantly related to usage. In the main, personality was not related to usage. The results support earlier research in the USA which indicate association between attitudes and usage, and point to the importance of researching organizational aspects which may affect usage. A number of specific features of marketing information systems design is supported by the results of this study. The paper, therefore, provides an analysis of a wider number of factors which may be related to use than earlier studies, provides statistical support for a number of design issues, relates American findings to British experience and is based upon a larger and more comprehensive sample than previous research.     

Organizational modifications to support JIT implementation in manufacturing and service operations

This study investigates JIT implementation practices and performance in manufacturing and service organizations in the US. Literature related to JIT usage and performance in both sectors is reviewed. A field study is then conducted to investigate the actual implementation experiences of a selected group of service and manufacturing users of JIT. Our findings from the literature and the field study are used to develop four research hypotheses that are tested using survey data from 130 manufacturing and 61 service firms. Manufacturing and service firms that had engaged in modifications such as operator and management training and improving linkages with suppliers prior to implementing their JIT systems experienced less implementation problems and achieved higher levels of success than firms that placed less emphasis on these modifications. This paper details and discusses these and other results from our study. In addition, managerial implications of our findings are presented.     

The impact of inter-organizational information systems-enabled external integration on capabilities of buyer–supplier dyads

Increasingly, firms are adopting two major supply chain management initiatives: to undertake external integration with supply chain partners and to implement inter-organizational information systems (IOSs). However, academic researchers have not adequately investigated effects of these types of initiatives. Using empirical data from 154 buyer–supplier dyads, we examined the direct and indirect effects (through external integration) of IOS usage on capabilities of buyer– supplier dyads. We found that external integration plays a mediating role in the relationship between IOS usage and capabilities of buyer– supplier dyad. This is the first study to investigate the effects of IOS usage and external integration on capabilities of buyer–supplier dyad.     

A pro-active and collaborative approach to reverse logistics—a case study

Reverse logistics is considered to be the key for re-manufacturing and sustainable development. It has gained increasing attention in the last decade and has been a new frontier of strategic management. One of the driving forces for firms to adopt the reverse logistics practice is cost saving from reverse logistics activities. Another motivation to put reverse logistics forward is probably due to environmental impacts on non-returnable materials. Reverse logistics, however, may require cooperation of more than one company and hence it is generally poorly managed due to self-interest of different companies. Therefore, a pro-active and collaborative approach to reverse logistics is demanded. This paper reports a case study of using returnable packaging materials between a manufacturer and an original equipment manufacturer (OEM) supplier. A cross-company team was established to pursue the goal of the reverse logistics project. Tangible and intangible benefits of reverse logistics from this case study are presented in this paper.     

Continued usage of technology versus situational factors: An empirical analysis

Mainstream technology management literature suggests that research on continued usage of technology is largely based on two perspectives, namely (i) a forward-looking perspective that underpins the technology acceptance model (TAM), and (ii) a retrospective perspective that is based on the expectation disconfirmation theory (EDT). We propose an extended framework to re-examine continued usage of technology by combining these two perspectives and incorporating individual, social and environmental factors as additional variables. Our study, in the context of users’ continued usage of e-learning tools, reveals that in addition to user satisfaction and perceived usefulness, self-efficacy, system service support and social pressure are significant factors that affect continued usage of technology. Our findings enrich the theoretical framework of continued usage of technology, and provide e-learning developers with managerial insights on how to entice learners to continue using their e-learning tools.     

Supply chain coordination with reverse logistics: A vendor/recycler-buyer synchronized cycles model

In this paper, we develop a synchronized cycles vendor-buyer coordination model where the single vendor is both a producer and recycler/remanufacturer, and there are multiple buyers. This model is an extension of the general single-vendor multi-buyer synchronization model to incorporate reverse logistics, and it includes costs associated with production, remanufacturing, transportation and holding inventory. The reverse logistics in the model is achieved by having the vendor pick up returned products from the buyers and then reprocess them for resale. Similar to the original synchronization model, the synchronization of our model is attained by coordinating the vendor's production cycle with both new products’ delivery cycles for transportation from the vendor to the buyers and used products’ pick-up cycles for transportation from the buyers to the vendor/recycler. A genetic algorithm is used for solving the problem. Numerical results show the benefits from this new synchronized cycles model compared to independent optimization with reverse logistics. Our findings further show that under low levels of returning products, the synchronized cycles coordination model with reverse logistics can reduce total system costs when compared with the independent optimization model without reverse logistics. Examples also show how the model with reverse logistics can perform economically better than the model without reverse logistics.     

An Experimental Investigation of Procurement Auctions with Asymmetric Sellers

Electronic reverse auctions are a commonly used procurement mechanism. Research to date has focused on suppliers who are ex ante symmetric in that their costs are drawn from a common distribution. However, in many cases, a seller's range of potential costs depends on their own operations, location, or economies of scale and scope. Thus, understanding how different bidder types impact auction outcomes is key when designing an auction. This study reports the results of the first controlled laboratory experiment designed to compare prices between first‐price and second‐price procurement auctions for homogeneous goods when seller cost types are asymmetric and the number of bidders varies. The results indicate that first‐price auctions generate lower prices regardless of market composition. The results also reveal that first‐price auctions are at least weakly more efficient than second‐price auctions despite the theoretical prediction that the reverse should hold in asymmetric auctions. Post hoc analysis of individual bidders' behavior in first‐price auctions revealed evidence that bidders systematically underbid when their cost realizations were close to the lower bound. Furthermore, bidders adjust their behavior based on the type of the other bidders in the market in a manner inconsistent with theory. Consequently, adding a third bidder to a two‐bidder market is not advantageous to the buyer unless that third bidder is a low‐cost type.     

Telecommunication steering committees and their implications

Rapid advances in telecommunications technology (TT) and its usage have elevated it to a strategic role. This strategic thrust of TT has obvious implications for TT management. This paper reports on a study conducted to identify and analyze the impact of using a distinct steering committee to manage telecommunication technology. Based on statistical analysis of the responses to a survey instrument it is found that having a separate steering committee to manage telecommunication technology has a positive impact on various factors affecting telecommunications usage and management. Implications of our findings for successful TT management are discussed.     

The Exploration Phase of Replication Strategies: The Role of Autonomous Action for Reverse Knowledge Flows

Replication strategies rely on the exploration of new knowledge. An important source of new knowledge is the transfer of unit level experience to headquarters, a process referred to as reverse knowledge flows. Such knowledge flows are fraught with difficulty as formal mechanisms often break down due to diverging business interests of unit and headquarters managers. This study brings together research on knowledge stickiness and autonomous action to provide a new avenue for understanding reverse knowledge flows. By drawing on an exploratory study of a franchise network, we provide an insight into how autonomous action reduces initiation stickiness but potentially increases implementation stickiness. Our analysis suggests that the role of autonomous action for reverse knowledge flows is moderated by unit managers’ resource expectations that emerge as a result of autonomous action. Exploring the interplay of autonomous action and knowledge stickiness provides new explanatory means for understanding reverse knowledge flows in replicator organizations.     

Barriers to the Implementation of Environmentally Oriented Reverse Logistics: Evidence from the Automotive Industry Sector

Even though reverse logistics has existed as long as forward logistics, growing social concern for the environment has caused reverse logistics activities to become a critical function for many organizations. Yet, barriers to implementation of environmentally oriented aspects of reverse logistics still exist. The aim of the present study is to identify the barriers that impede or hinder the implementation of environmentally oriented reverse logistics practices, with a focus on the automotive industry. Empirical evidence and robust statistical analysis provide insights into the practices of environmentally oriented reverse logistics and barriers encountered in the Spanish automotive sector. Using structural equation modelling we are able identify two types of barriers, external and internal, and to study whether these barriers, previously identified in the literature, hinder environmentally oriented reverse logistics practices. The model also allows for identification of the most relevant barriers for the automotive sector.     

Reverse logistics drivers: empirical evidence from a case study in an emerging economy

Academic and corporate interest in reverse logistics (RL) has risen considerably in recent years. In this context, the objective of this study was to identify the drivers that enable RL practice in an emerging economy. Firstly, international peer-reviewed publications on RL were used to develop a RL environment framework representing the main RL internal and external influences. Secondly, a case-based research was conducted in a large manufacturing company located in Southern Brazil. The results indicated that the most cited driver in the RL literature, the government and legislation, was not a main influence on the studied company. Environmental legislation is still limited in the country and struggles to provide incentives to increase materials recycling. An economic factor related to materials value recovery was also found to drive the backward flow. Finally, knowledge of the RL driving forces may support industries to better implement and manage reverse flows and to bridge the gap between existing and future solutions for reverse supply chains.