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The purpose of this paper is to focus specifically on the examination of factors influencing the effectiveness of product placement in social media.

Two field experiments were used to test research models and questions. In each experiment, random sampling was used to assign volunteers into groups, controlled by different experimental settings. Questionnaires were distributed to the volunteers in order to collect their attitude toward advertisement, brand impression, and intention to click the advertisement. Their browsing behavior was measured by click through rate, browse depth, and browsing time.

The paper found that the effects of product placement conducts (product prominence and presentation) in social media are similar to the effects of product placement in other media. Also, a match between the vehicle and product would create deeper browsing depth and longer browsing time on the product web site. Product placement on a higher awareness vehicle would be more effective for marketing.

This study makes its contribution in understanding the effectiveness of product placement in social media on delivering a marketing message. The results further highlight the importance of “integrating” the product placement content with its context and its vehicle.

The aim is to examine the recent trend in empty running by trucks in the UK and assesses the potential for a further reduction in empty running in the food supply chain using a new technique.

Data from the UK Government's main road freight survey and other studies are used to investigate the causes of the decline in empty running. Previous attempts to quantify opportunities for backloading are reviewed. The 2002 KPI Survey in the UK food supply chain created a large multi‐fleet database of over 20,000 trips, which permitted retrospective analysis of backloading opportunities. A method was devised to screen these opportunities against four selection criteria and assess the overall potential for cutting empty truck‐kms.

Suitable backloads were found for only 2.4 per cent of the empty journey legs, representing 2 per cent of empty truck‐kms. The analysis highlights the operational constraints on backloading in a sector characterised by short average trip length, tight scheduling and variable use of refrigeration.

The analysis provides a more accurate and realistic assessment of backloading potential than previous studies, though is still deficient in several respects. The main shortcomings relate to the sampling method and structure of the Transport KPI Survey. The analytical framework requires further development to refine backload search areas, incorporate commercial data and permit sensitivity analysis.

The paper shows how retrospective analysis of road deliveries made over a short period (48 hour) can identify opportunities for backloading at a sectoral level. It combines government statistics and original survey data to provide both a macro‐ and micro‐level perspective on the empty running problem.

In marketing, most research on intention–behavior consistency (IBC) is dedicated to improving the predictive ability of stated intentions for future behaviors, with relatively less exploration into the precursors of IBC, especially those linked to regular durable goods void of ethical consumption characteristics. This study aims to focus on the antecedents of IBC for such products, specifically examining category-level and product-level IBC in light of consumer knowledge.

The authors conducted a two-round survey to collect 3,560 Chinese consumers' vehicle purchase intentions and behaviors. The authors have also leveraged a large vehicle database (containing detailed vehicle attribute information) to measure consumer product knowledge (i.e. product judgment accuracy). A trivariate probit model was proposed to account for the potential selection bias arising from sample attrition while examining the effects of consumer knowledge on category- and product-level intention-behavior consistency.

Findings reveal that 47% of the participants displayed category-level IBC, and within this group, a further 39% exhibited product-level IBC. Notably, product knowledge, manifested as accurate product judgment, correlates negatively with category-level IBC but positively with product-level IBC. Intriguingly, the negative association between inaccurate judgment and product-level IBC is less pronounced for consumers overestimating the target product than for those underestimating it. Furthermore, consumers with direct experience are less prone to show category-level IBC, but are more inclined to display product-level IBC.

Vehicle marketers should prioritize consumers who show interest in their products but possess inaccurate knowledge, to retain whom companies can nurture their product knowledge. As for consumers with accurate knowledge, companies should try to expedite their purchase. Vehicle marketers also need to devise suitable advertising strategies to prevent consumers from undervaluing their products. For those overestimating competitors' products, companies can provide information to correct their overestimation and draw attention to possible confirmation biases. Vehicle marketers should encourage potential buyers who have shown interest in their product to participate in test-drive events, exhibitions, and other direct experience opportunities. Yet, for consumers still in the “whether-to-buy” decision-making phase, companies should not rush them into a test drive.

In the policy-making realm, governmental administrators can implement extensive consumer education programs, with a focus on the importance of product knowledge. This may involve providing consumers with accurate information and buying guides through various channels, which can help consumers make informed purchase decisions. Moreover, to foster healthy competition among vehicle companies, governmental administrators can establish regulations that require vehicle companies and other relevant industries to provide accurate and transparent product information, including performance, safety, and environmental aspects. Finally, in order to protect consumer rights, governmental administrators can also strengthen regulations to ensure fair treatment and safeguards for consumers throughout the purchasing process. This includes cracking down on false advertising and fraudulent practices, maintaining market order, and enhancing consumer confidence and purchase consistency.

This study is among the first attempts to examine the relationship between consumer knowledge and intention-behavior consistency, especially for regular durable products void of ethical consumption characteristics. Responding to the call of previous literature (e.g. Morwitz, 1997), the authors distinguish between and examine two forms of intention-behavior consistency simultaneously (using a sample selection model) and obtain more reliable conclusions. Moreover, the study's large-scale two-round survey had obtained individual-level purchase behavioral outcomes, which allowed the authors to measure each consumer's IBC at both category and product levels. More importantly, the authors show the opposite effects of consumer knowledge on the two forms of intention-behavior consistency.

Describes a study to measure the quality of service provided by food‐poisoning surveillance agencies in England and Wales in terms of the requirements of a representative consumer ‐ the egg producing industry ‐ adopting “egg associated” outbreak investigation reports as the reference output. Defines and makes use of four primary performance indicators: accessibility of information; completeness of evidence supplied in food‐poisoning outbreak investigation reports as to the sources of infection in “egg‐associated” outbreaks; timeliness of information published; and utility of information and advice aimed at preventing or controlling food poisoning. Finds that quality expectations in each parameter measured are not met. Examines reasons why surveillance agencies have not delivered the quality demanded. Makes use of detailed case studies to illustrate inadequacies of current practice. Attributes failure to deliver “accessibility” to a lack of recognition on the status or nature of “consumers”, combined with a self‐maintenance motivation of the part of the surveillance agencies. Finds that failures to deliver “completeness” and “utility” may result from the same defects which give rise to the lack of “accessibility” in that, failing to recognize the consumers of a public service for what they are, the agencies feel no need to provide them with the data they require. The research indicates that self‐maintenance by scientific epidemiologists may introduce biases which when combined with a politically inspired need to transfer responsibility for food‐poisoning outbreaks, skew the conduct of investigations and their conclusions. Contends that this is compounded by serious and multiple inadequacies in the conduct of investigations, arising at least in part from the lack of training and relative inexperience of investigators, the whole conditioned by interdisciplinary rivalry between the professional groups staffing the different agencies. Finds that in addition failures to exploit or develop epidemiological technologies has affected the ability of investigators to resolve the uncertainties identified. Makes recommendations directed at improving the performance of the surveillance agencies which, if adopted will substantially enhance food poisoning control efforts.

Preface The functions of business divide into several areas and the general focus of this book is on one of the most important although least understood of these—DISTRIBUTION. The particular focus is on reviewing current practice in distribution costing and on attempting to push the frontiers back a little by suggesting some new approaches to overcome previously defined shortcomings.

Vehicle allocation problems (VAPs), which are frequently confronted in many transportation activities, primarily including but not limited to full truckload freight transportation operations, induce a significant economic impact. Despite the increasing academic attention to the field, literature still fails to match the needs of and opportunities in the growing industrial practices. In particular, the literature can grow upon the ideas on sustainability, Industry 4.0 and collaboration, which shape future practices not only in logistics but also in many other industries. This review has the potential to enhance and accelerate the development of relevant literature that matches the challenges confronted in industrial problems. Furthermore, this review can help to explore the existing methods, algorithms and techniques employed to address this problem, reveal directions and generate inspiration for potential improvements.

This study provides a literature review on VAPs, focusing on quantitative models that incorporate any of the following emerging logistics trends: sustainability, Industry 4.0 and logistics collaboration.

In the literature, sustainability interactions have been limited to environmental externalities (mostly reducing operational-level emissions) and economic considerations; however, emissions generated throughout the supply chain, other environmental externalities such as waste and product deterioration, or the level of stakeholder engagement, etc., are to be monitored in order to achieve overall climate-neutral services to the society. Moreover, even though there are many types of collaboration (such as co-opetition and vertical collaboration) and Industry 4.0 opportunities (such as sharing information and comanaging distribution operations) that could improve vehicle allocation operations, these topics have not yet received sufficient attention from researchers.

The scientific contribution of this study is twofold: (1) This study analyses decision models of each reviewed article in terms of decision variable, constraint and assumption sets, objectives, modeling and solving approaches, the contribution of the article and the way that any of sustainability, Industry 4.0 and collaboration aspects are incorporated into the model. (2) The authors provide a discussion on the gaps in the related literature, particularly focusing on practical opportunities and serving climate-neutrality targets, carried out under four main streams: logistics collaboration possibilities, supply chain risks, smart solutions and various other potential practices. As a result, the review provides several gaps in the literature and/or potential research ideas that can improve the literature and may provide positive industrial impacts, particularly on how logistics collaboration may be further engaged, which supply chain risks are to be incorporated into decision models, and how smart solutions can be employed to cope with uncertainty and improve the effectiveness and efficiency of operations.

To achieve a full understanding of the role of marketing from plan to profit requires a knowledge of the basic building blocks. This textbook introduces the key concepts in the art or science of marketing to practising managers. Understanding your customers and consumers, the 4 Ps (Product, Place, Price and Promotion) provides the basic tools for effective marketing. Deploying your resources and informing your managerial decision making is dealt with in Unit VII introducing marketing intelligence, competition, budgeting and organisational issues. The logical conclusion of this effort is achieving sales and the particular techniques involved are explored in the final section.

The purpose of this paper is to analyze, computationally, the kinematic response (including large‐scale rotation and deformation, buckling, plastic yielding, failure initiation, fracture and fragmentation) of a pick‐up truck to the detonation of a landmine (shallow‐buried in one of six different soils, i.e. either sand, clay‐laden sand or sandy gravel, each in either dry or water‐saturated conditions, and detonated underneath the vehicle) using ANSYS/Autodyn, a general‐purpose transient non‐linear dynamics analysis software.

The computational analysis, using ANSYS/Autodyn, a general‐purpose transient non‐linear dynamics analysis software, included the interactions of the gaseous detonation products and the sand ejecta with the vehicle and the transient non‐linear dynamics response of the vehicle.

The results obtained clearly show the differences in the blast loads resulting from the landmine detonation in dry and saturated sand, as well as the associated kinematic response of the vehicle. It was also found that the low frequency content of the blast loads which can match the whole‐vehicle eigen modes is quite small so that resonance plays a minor role in the kinematic/ballistic response of the vehicle. Furthermore, it was demonstrated that mine blast analytical loading functions which are often used in transient non‐linear dynamic analyses have limited value when used in the analyses of a complete vehicle.

This is the first time that the kinematic response of a pick‐up truck to the detonation of a shallow‐buried landmine (using a full‐scale/complete model) has been analyzed computationally.

Increasing academic communities and practitioners begin to explore a novel method to reduce environmental pollution and realize green logistics delivery. Additionally, China's Statistical Yearbook shows that the number of private cars has reached 165 million in China. Under this background, this study proposes a green delivery method by the combination of sharing vehicle (private cars) and IoT (Internet of things) from the perspective of vehicle energy efficiency and aims to improve the energy efficiency of social vehicles and provides more convenient delivery services.

This study builds an IoT architecture consisting of customer data layer, information collection layer, cloud optimization layer and delivery task execution layer. Especially in the IoT architecture, a clustering analysis method is used to determine the critical value of customers' classification and shared delivery, a routing optimization method is used to solve the initial solution in could layer and shared technology is used in the implementation of shared delivery.

The results show that the delivery method considering shared vehicles has a positive effect on improving the energy utilization of vehicles. But if all of delivery tasks are performed by the shared vehicle, the application effect may be counterproductive, such as delivery cost increases and energy efficiency decreases. This study provides a good reference for the implementation of green intelligent delivery business, which has a positive effect on the improvement of logistics operation efficiency.

This study designs a novel method to solve the green and shared delivery issues under the IoT environment, which integrates the IoT architecture. The proposed methodology is applied in a real case in China.

The purpose of this paper is to investigate whether consumers in pre-owned durable goods markets (such as pre-owned automobiles) purchase products with higher premium/luxury positioning in a vertical line-up compared to consumers in new durable goods markets. The moderating role of brand loyalty on choice is also investigated.

The hypotheses are tested using a data set that includes the sales of new and pre-owned vehicles from an independently owned automotive dealer in the Northwestern USA during the first nine months of 2017 (N = 200). An ordered logit regression is used to estimate the relationship between consumers’ purchase of pre-owned vs new vehicles and the premium-level of the model that they choose, while controlling for the vehicle price. Two experimental robustness tests are conducted to provide empirical evidence of the proposed theoretical process.

Consumers who purchased pre-owned vehicles chose models with higher premium/luxury positioning compared to consumers who purchased new vehicles, even when controlling for price. This effect was moderated by brand loyalty, such that consumers’ premium-level of purchase was magnified if they previously owned a vehicle of the same brand. The results of an experimental robustness test indicated that consumers’ preference for pre-owned vehicles with higher premium/luxury positioning was because of greater perceptions of the quality along the dimensions of versatility, performance and prestige.

Sellers of complex durable goods (e.g. automobiles) should consider segmenting their upselling strategies for pre-owned vs new products. They should specifically focus more effort on the upselling of pre-owned durables as buyers appear more likely to pursue premium/luxury alternatives compared to new durables. Further, they should focus upselling efforts for pre-owned durables on brand loyal consumers.

To the best of the authors’ knowledge, this work is the first to examine consumers’ desire for pre-owned durable goods with premium/luxury positioning in a vertical product line-up. Further, it is also the first to explore the role of brand loyalty in shaping consumer preferences for premium/luxury pre-owned durable goods. As such, it makes an important contribution to an emerging literature exploring the appeal of premium and luxury pre-owned goods. Much work in this area has focused on the motivations that consumers have for buying pre-owned premium and luxury nondurable goods, such as vintage clothing or accessories. By contrast, the present research investigates the appeal of premium/luxury positioning for complex, pre-owned durable goods (vehicles), which are more difficult for consumers to evaluate at the point-of-purchase.