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The purpose of this paper is to examine the role of playfulness on innovative consumers’ pre-order behavior for new products.

Drawing upon self-congruity theory and early adoption literature, the effects of playfulness and innovativeness on pre-order behavior and the role of self-congruity are tested using four experimental studies that are analyzed using generalized linear model (GLM) and structural equation modeling.

Results indicate that playfulness amplifies the advance-purchasing propensity, especially when the pre-launch information cues come from a credible source.

This paper refines playfulness measurement scales and proposes how both enjoyment- and creativity-based playfulness amplify the purchase intention among innovative consumers. The results assist product managers in developing advanced marketing plans before a new product is launched.

Describes a project and the process that was created to overcome the problems incurred to make the CAT ME Plus micro enhancer work as a tool for acquisitions at a public library′s acquisitions and cataloguing department. Reviews the problems posed by batching pre‐order searches, the limitations of CAT ME Plus, and how these were overcome.

The purpose of this paper is to promote decision-making structures between the customer and the supplier in a highly uncertain environment. This phenomenon of demand-supply chain synchronisation includes sharing of high-quality and timely demand and supply information in order to improve the quality and speed of decision-making.

The study was carried out as an abductive case study, which started from empirical observations that did not match the prior theoretical framework. Through abductive reasoning and empirical experiments, the prior framework was extended to a new synchronisation model and tools that better accommodate the observed need.

A new co-innovation toolbox was developed to create common understanding of demand-supply chain synchronisation between the customer and the supplier. The toolbox includes Demand Visibility Point-Demand Penetration Point, Supply Visibility Point–Supply Penetration Point and Integrative Synchronisation tools.

The study extends the current models and tools of demand-supply chain synchronisation. With the new toolbox, the development needs of decision-making structures can be identified more comprehensively than with the current tools.

The developed visual toolbox helps partners create a common understanding of problems and development possibilities in demand-supply chain synchronisation in a highly uncertain environment. Common understanding is a starting point for changing decision-making structures to improve the overall performance of a demand-supply chain.

The new toolbox is both more comprehensive and more detailed than the previous tools.

The article aims to examine how the University of Maryland, College Park, evaluated two specific task management software packages that could make the pre‐order workflow for electronic resources more transparent to library staff.

The results from an electronic resources gap analysis done at the University of Maryland, College Park, were used as a basis to evaluate and select task management systems.

Two electronic resource management systems, CORAL and License Manager, were selected. They were evaluated in the areas of task, license and vendor information management.

This paper provides criteria that could be used to evaluate tools that support license management for electronic resources.

Social marketing and other types of targeted behaviour change interventions should appeal to an individual’s personal values in order to improve their effectiveness. However, there is currently little understanding of what these values are in relation to food waste. The purpose of this paper is to identify the values underpinning the specific behaviour of plate waste created in a residential foodservice setting.

In semi-structured interviews (n=50) laddering techniques were used to identify links from behaviours through individual’s rationalisation for that behaviour to their personal values. The aim of the questioning was to uncover underlying drivers that lead to plate waste as well as those barriers to reducing it.

The values identified as being most important are hedonism and self-direction. The specific aspects of these values for plate waste reduction interventions are not compromising on the individual’s enjoyment of the meal and meeting their health goals. Effective interventions include pre-ordering meals, reducing food options provided, reducing plate size, removing food tray and finally, information campaigns to raise awareness.

The study provides insights into the personal values that influence behaviours resulting in plate waste. The study is the first to determine the links between this behaviour, rationalisations for that behaviour and personal values.

The use of print catalogs for direct marketing has a long history of success. Today, telecommunication networks, such as the Internet, offer the potential to reach a larger market through the use of online catalogs that could be dynamic, flexible, and consumer‐responsive. This paper reports the results of an empirical study that compared individuals’ attitudes and intentions to shop using print and Internet catalogs. The findings suggest that individuals perceived differences between the two catalog media on the shopping factors of reliability, tangibility, and consumer risk. Further, product value, pre‐order information, post‐selection information, shopping experience, and consumer risk emerged as the factors that influenced attitudes and intentions to shop using print and Internet catalogs.

In recent years, many manufacturing companies are attempting to implement lean manufacturing systems (LMS) as an effective manufacturing strategy to survive in a highly competitive market. Such a process of selecting a suitable manufacturing system is highly complex and strategic in nature. The paper aims to how companies make a strategic decision of selecting LMS as part of their manufacturing strategy, and on what basis such strategic decisions are made by the managers.

A case study of a small‐ and medium‐sized enterprise is presented, in which the managers are contemplating on implementing either computer integrated manufacturing systems (CIMS) or LMS. To supplement the decision‐making process, a multi‐criteria decision making (MCDM) model, namely, the preference ranking organisation method for enrichment evaluations (PROMETHEE) is used to analyse how it will impact the stakeholders of the organisation, and the benefits gained.

An extensive analysis of PROMETHEE model revealed that LMS was the best for the given circumstances of the case.

The same problem can be extended by incorporating the constraints (such as financial, technical, social) of the organisation by utilising an extended version of PROMETHEE called the PROMETHEE V. Since, a single case study approach has been utilised, the findings cannot be generalized for any other industry.

The methodology of PROMETHEE and its algorithm has been demonstrated in a detailed way and it is believed that it will be useful for managers to apply such MCDM tools to supplement their decision‐making efforts.

According to the authors’ knowledge there is no paper in the literature, which discusses the application of PROMETHEE in making a strategic decision of implementing LMS as a part of an organisation's manufacturing strategy.

The purpose of this paper is to propose efficient algorithms for structural grouping over Extensible Markup Language (XML) data, called TOPOLOGICAL ROLLUP (T‐ROLLUP), which are to compute aggregation functions based on XML data with multiple hierarchical levels. They play important roles in the online analytical processing of XML data, called XML‐OLAP, with which complex analysis over XML can be performed to discover valuable information from XML.

Several variations of algorithms are proposed for efficient T‐ROLLUP computation. First, two basic algorithms, top‐down algorithm (TDA) and bottom‐up algorithm (BUA), are presented in which the well‐known structural‐join algorithms are used. The paper then proposes more efficient algorithms, called single‐scan by preorder number and single‐scan by postorder number (SSC‐Pre/Post), which are also based on structural joins, but have been modified from the basic algorithms so that multiple levels of grouping are computed with a single scan over node lists. In addition, the paper attempts to adopt the algorithm for parallel execution in multi‐core environments.

Several experiments are conducted with XMark and synthetic XML data to show the effectiveness of the proposed algorithms. The experiments show that proposed algorithms perform much better than the naïve implementation. In particular, the proposed SSC‐Pre and SSC‐Post perform better than TDA and BUA for all cases. Beyond that, the experiment using the parallel single scan algorithm also shows better performance than the ordinary basic algorithm.

This paper focuses on the T‐ROLLUP operation for XML data analysis. For this reason, other operations related to XML‐OLAP, such as CUBE, WINDOWING, and RANKING should also be investigated.

The paper presents an extended version of one of the award winning papers at iiWAS2008.

This paper aims to examine the automotive industry and how it ripe for disruption. By examining the current state of the industry and how technology will shape the future of the car, this paper outlines why the automotive industry is ready to be disrupted and provides insights as to whom the major players may be in the future and why.

This paper uses examples from companies and the media to identify how the automotive industry is ready to be disrupted.

This paper identifies that the automotive industry is ready to be disrupted. With Tesla having secured over 400,000 pre-orders for its new Model 3 sedan, there is a movement that will pave the way to a new era of the automobile.

This paper demonstrates that a new way of thinking is needed for top managers at traditional automakers. In this paper, a new way of thinking about the future of the car is presented.

This paper takes a new perspective on what the future of the automobile may resemble and the companies that will likely be involved as a result of the disruption in the industry.

Waiting is associated with pain and stress that leads to frustration. However, consumer narratives may help cope with the stress associated with such waiting. This study aims to understand consumer waiting behaviours within online communities.

Data was gathered following a netnographic approach from a Facebook brand community (FBC) by downloading and archiving the threads related to members’ waiting behaviours. This resulted in 91 pages of data, with 438 individual comments and 179 distinct threads.

The data revealed that members of the sampled FBC exercised waiting behaviour. The authors confirm that waiting for a product is associated with both negative outcomes (frustration, boredom, etc.), but positive ones (create stronger ties with the brand and fellow members, etc.). Members of the FBC exhibited reduced consumer anxiety and stress during the waiting period.

This study found 13 waiting behaviours within the FBC and supports the idea that new value-creating behaviours are noticed within the context of FBCs.

This study focuses on waiting within a goods-based context (waiting to be served has been examined predominantly within the service sector). The study explored the behaviours of consumers who use social media to complain about extended waiting periods to receive the product along with other consumer reactions to these waiting crowds to reduce the emotional pain associated with such delays.

La espera se asocia con el dolor y el estrés, lo que lleva a la frustración. Sin embargo, el relato de otros consumidores puede ayudar a hacer frente al estrés asociado a dicha espera. Este trabajo busca entender el comportamiento de espera de los consumidores dentro de las comunidades online.

Los datos fueron recopilados siguiendo un enfoque netnográfico de una comunidad de marca en Facebook (CMF) mediante la descarga de mensajes; sólo los hilos relacionados con los comportamientos de espera de los miembros fueron descargados y archivados. Esto resultó en 91 páginas de datos con 438 comentarios individuales y 179 hilos distintos.

Los datos revelan que en Facebook se dan comportamientos de espera. Confirmamos que la espera de un producto no sólo está asociada a resultados negativos (frustración, aburrimiento, etc.), sino también a resultados positivos (crear lazos más fuertes con la marca y los compañeros). Además, se comprueba que los miembros de la CMF reducen la ansiedad y el estrés del consumidor durante el período de espera.

Este trabajo encuentra 13 comportamientos de espera dentro de una CMF

Este trabajo se centra en la espera dentro del contexto basado en los bienes (la espera para ser atendido ha sido examinada principalmente dentro del sector de servicios). Además, no sólo nos centramos en los consumidores que utilizan los medios sociales para quejarse de una espera más larga en la recepción del producto, sino también en la reacción de otros consumidores a estas esperas para reducir el dolor emocional asociado a dicho retraso.