Search results

The purpose of this paper is to explore the differences in preferred supplier choice criteria between food purchasing agents who focus on supplier security and those that do not. Specifically, this research determines the relationship between purchasing agents’ supplier security preferences and their preferences for product quality, delivery reliability, price, and supplier location. The influence of international sourcing on demand for increased supplier security is also explored.

Choice-based conjoint analysis with hierarchical Bayes (HB) estimation and t-tests are used to assess and compare the utility food purchasing managers derive from different supplier attributes.

Purchasing managers that place a higher priority on security when choosing suppliers were willing to pay suppliers a higher price and receive lower levels of delivery reliability in return for higher security but placed less emphasis on suppliers’ product quality. Firms that source internationally do not have a significantly greater preference for advanced supplier security. However, purchasing managers that value supplier security were more likely to source internationally, potentially indicating that security allows for global sourcing by mitigating the increased vulnerability inherent to sourcing abroad.

This research was limited by its focus on the food industry and a relatively small sample size.

This work illustrated that food purchasing managers can be segmented by the emphasis they place on security. Food industry managers will find results useful in formulating their future service offerings with respect to security and other supplier choice criteria.

This is one of few works investigating security as a supplier choice criterion and utilizing HB estimation of choice-based conjoint data.

Though logistics security only took care of trading phase in the past, many countries in the world have begun to introduce logistics security system as its coverage has been extended from production stage to delivery at the final destination. Logistics security system has become indispensable element for global corporations involved in international trading and studies on logistics security keep going on. Most of the studies, however, are focused on discussion of system, cost and influence of logistics security and few of them have been specifically dealing with substantial effectiveness thereof. This study developed the models of supply chain security activities and their outcome by means of using Balanced Scorecard (BCS) which is a well known performance indicator to identify relationship between supply chain security activities and their accomplishment. In this study we have presented 8 supply chain frameworks, human resources management, information system management, facilities/freight management, security process, crisis management capability, relationship with partners, sharing of logistics information and logistics security accomplishment, with reference to standards of C-TPAT and AEO based on WCO framework, 10 supply chain security capabilities. This study further indicates that relationship with partners has more effect on logistics security accomplishment than sharing of logistic information. Just as relationship between corporations in chain of supply and sharing of information among them are important elements in management of supply chain, relationship with partners and sharing of logistic information will have positive effect on supply chain security accomplishment and raise its effectiveness.

This month's Stack is comprised of two books on complexity theory, two on IBM's Lou Gerstner, and an odd man out on straight strategy.

Even as theorists of social movements have paid increasing attention to culture in mobilization processes, they have conceptualized its role in curiously circumscribed fashion. Culture is often treated as a residual category; that is, invoked to explain what structure does not explain in accounting for movements’ emergence, what instrumental rationality does not explain in accounting for movement groups’ choice of strategies and tactics, and what policy change does not encompass in accounting for movements’ impacts. As a result, culture’s role in creating structural opportunities, in defining what counts as instrumentally rational, and in determining movement impacts within the policy arena as well as outside it has gone largely untheorized. An alternative view of culture focuses on the schemas that guide, and are reproduced in, institutions. Such a perspective makes it possible to identify the conditions in which culture has independent force in shaping identities, interests, and opportunities, and to grasp culture’s simultaneously enabling and constraining dimensions. Drawing on recent empirical studies, I show how this perspective can illuminate neglected dynamics of movement emergence, tactical choice, and movement impacts.

Demand forecasting is a challenging task that could benefit from additional relevant data and processes. The purpose of this paper is to examine how big data analytics (BDA) enhances forecasts’ accuracy.

A conceptual structure based on the design-science paradigm is applied to create categories for BDA. Existing approaches from the scientific literature are synthesized with industry knowledge through experience and intuition. Accordingly, a reference frame is developed using three steps: description of conceptual elements utilizing justificatory knowledge, specification of principles to explain the interplay between elements, and creation of a matching by conducting investigations within the retail industry.

The developed framework could serve as a guide for meaningful BDA initiatives in the supply chain. The paper illustrates that integration of different data sources in demand forecasting is feasible but requires data scientists to perform the job, an appropriate technological foundation, and technology investments.

So far, no scientific work has analyzed the relation of forecasting methods to BDA; previous works have described technologies, types of analytics, and forecasting methods separately. This paper, in contrast, combines insights and provides advice on how enterprises can employ BDA in their operational, tactical, or strategic demand plans.

The purpose of the this paper is to correct a deficiency in the published literature by examining the share price performance of firms that own high-value brands in uptrending, downtrending and sideways markets.

The authors examined stock price performance for an index of firms that owned brands in the Interbrand list of the “Best Global Brands” from 2001 through 2009 using the Fama-French method.

The authors’ index outperformed the Standard & Poor’s 500 when the market was up or downtrending, but not when it moved sideways.

The authors find that an index of firms that own the produced better returns than the Standard & Poor’s 500 market index. Owning highly valued brands may be a marketplace signal to the investing community regarding the firm’s management acumen.

Owning high-value brands seems to influence share price performance, a metric used to judge chief executive officers. Thus, brand investments align with the shareholders’ interest. The authors help alleviate the perception (Challagalla et al., 2014) that marketing managers make investments on an ad hoc basis.

For the first time, the authors evaluate the effect of owning one or more of the world’s most valuable brands on the market value of common stock using data from downtrending, uptrending and no-trend periods. This research is also among the first to introduce volatility into the Fama-French method and it is an important explanatory variable. This paper’s approach has interesting comparisons to other papers taking a similar analytical approach.

The purpose of this paper is to identify the two kinds of supply chain quality management (SCQM) capabilities: intra-SCQM and inter-SCQM, and explore the effect of intra- and inter-food SCQM on food safety and quality, and the effect of food SCQM on domestic and export performance through food certification and corporate reputation.

Secondary data on food selling or processing firms in Western China were collected to test all the hypotheses. The data were then analyzed using the statistical technique of stepwise regression and inference was drawn based on the result.

Through utilizing secondary data sources, it is found that intra-SCQM promotes sales in domestics market with mediating role of corporate reputation, while the realization of overseas performance depend both on intra- and inter-SCQM with mediating role of food certification.

The paper study on food supply chain quality problem, the suggested approaches can be easily realized by agro-food companies to achieve international competitiveness by implementing both intra- and inter-SCQM. Meanwhile to Chinese domestic companies, it is important to strengthen inter-SCQM and food certification in order to achieve competitive advantage.

Review of literature indicated that there is a dearth of open literature that discusses food safety from the perspective of inter- and intra-organizational management. Furthermore, it was also observed that there has been no study that has taken the safety signaling perspective. The current research tires to shed some light on this important, but sparely discussed issue.

The purpose of this paper is to examine the leisure cruise service environment – the shipscape – and its effects on cruisers' emotions, meaning‐making, and onboard behavior.

This paper uses qualitative data from 260 cruise customers that were mined from archived online discussion boards. Data were analyzed based on grounded theory and interpretive methods to derive an understanding of shipscape meanings and influences from the cruiser's perspective.

The findings extend Bitner's servicescape framework and reveal novel atmospheric and social effects that influence cruise travelers' experience.

Given the exploratory research objective and interpretive methodology, generalizability beyond the cruise context is limited. However, research findings suggest not only that ambient shipscape conditions influence cruisers' pleasure, but also that ship layout, décor, size, facilities, and social factors influence the meanings cruisers attach to cruise brands and to the overall cruise experience.

This paper explores atmospheric effects on consumer behavior in a context as yet examined by tourism and hospitality scholars.

This paper aims to analyze if and to what extent mechanical artificial intelligence (AI)-embedded in hotel service robots-influences customers’ evaluation of AI-enabled hotel service interactions. This study deploys online reviews (ORs) analytics to understand if the presence of mechanical AI-related text in ORs influences customers’ OR valence across 19 leading international hotels that have integrated mechanical AI – in the guise of service robots – into their operations.

First, the authors identified the 19 leading hotels across three continents that have pioneered the adoption of service robots. Second, by deploying big data techniques, the authors gathered the entire population of ORs hosted on TripAdvisor (almost 50,000 ORs) and generated OR analytics. Subsequently, the authors used ordered logistic regressions analyses to understand if and to what extent AI-enabled hospitality service interactions are evaluated by service customers.

The presence of mechanical AI-related text (text related to service robots) in ORs influences positively electronic word-of-mouth (e-WOM) valence. Hotel guests writing ORs explicitly mentioning their interactions with the service robots are more prone to associate high online ratings to their ORs. The presence of the robot’s proper name (e.g., Alina, Wally) in the OR moderates positively the positive effect of mechanical AI-related text on ORs ratings.

Hospitality practitioners should evaluate the possibility to introduce service robots into their operations and develop tailored strategies to name their robots (such as using human-like and short names). Moreover, hotel managers should communicate more explicitly their initiatives and investments in AI, monitor AI-related e-WOM and invest in educating their non-tech-savvy customers to understand and appreciate AI technology. Platform developers might create a robotic tag to be attached to ORs mentioning service robots to signal the presence of this specific element and might design and develop an additional service attribute that might be tentatively named “service robots.”

The current study represents the first attempt to understand if and to what extent mechanical AI in the guise of hotel service robots influences customers’ evaluation of AI-enabled hospitality service interactions.