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This research seeks to examine differences in perceived shipping charge inflation associated with online promotions presented as reducing base product price, reducing shipping surcharge, or reducing all‐inclusive price and its impact on deal values for shipping charge skeptics and non‐skeptics.

Drawing from research on multi‐component pricing and mental accounting, a laboratory experiment investigates if shipping charge skeptics differ in their perceptions of shipping charge inflation for different presentations of online promotions from non‐skeptics, and if they differ in perceived deal value of economically equivalent promotions presented as reduced product price, reduced shipping charge promotion, or reduced all‐inclusive price for high and low priced items with small or large shipping fees at retail websites.

Analyses show that shipping charge skeptics differ from non‐skeptics in their perceptions of shipping charge inflation and deal values for different online promotions only when the surcharge is large relative to the base price. Reduced price promotions are most attractive for high‐priced items with low surcharge but least attractive for large surcharge sizes. For large surcharge sizes, shipping charge skeptics prefer reduced all‐inclusive price promotions to reduced shipping promotions, while non‐skeptics prefer reduced shipping promotions to reduced all‐inclusive price promotions.

The results suggest that the effectiveness of various promotion frames at online stores differ based on base price, surcharge size, and consumer skepticism of shipping charge. Robustness of the results obtained at different levels of discount sizes need investigation.

Online retailers that have to charge high shipping fees can use promotions to shift the referent price component used by consumers to calculate savings and mitigate perceptions of shipping or base price inflation. For equivalent dollar savings, retailers can use reduced shipping charge promotions to communicate higher deal values to shipping charge non‐skeptic consumers than reduced base price or reduced all‐inclusive promotions.

This research examines how consumer perceptions of deal values differ, even though objective savings and financial outlay is the same, when promotions are presented as reducing product price versus surcharge.

The purpose of this paper is to determine whether online bidders adjust their offers downward to compensate for shipping fees; whether shipping fees affect the number of bids in an auction, and thus indirectly influence winning bid prices; and whether experienced bidders more fully compensate for shipping fees, as compared to less experienced bidders.

Data were collected from eBay, covering 530 auctions of 19‐inch LCD monitors and 242 auctions of 1921 Morgan Dollar coins. Several regression models were employed to test the hypotheses.

Shipping fees had a large, negative effect on winning bids in monitor auctions, but had no effect in coin auctions. Auctions with larger shipping fees resulted in fewer bids, which in turn lessened winning bid prices. Experienced bidders adjusted more fully than inexperienced bidders in monitor auctions, in which the fees are more substantial.

Data should be collected on additional product categories, and in order to control for background variables a controlled experiment should be conducted.

Shipping fees appear to result in greater revenues for online sellers. Even though monitor bidders adjust their offers downward to compensate for fees, each additional $1 of shipping fee resulted in an additional $0.05 of profit for sellers. Coin sellers appear to have profited dollar for dollar from fees.

Previous research has only indirectly examined the impact of shipping fees on winning bid prices. Given the dramatic growth of online auctions in the past decade, an examination of shipping charges is of both practical and theoretical importance.

The purpose of this paper is to investigate the effect of a dimension of logistics service quality (delivery time) interacting with shipping charges and purchase importance on customer satisfaction and purchase intentions in an e-commerce context. Uncertainty in terms of perceived ambiguity and perceived riskiness is shown to be the theoretical mechanism that plays a mediating role in the relationships between delivery time and customer satisfaction, as well as between delivery time and purchase intentions.

This study used a scenario-based role playing experiment. Three variables are manipulated in the design of the study – delivery time, shipping charges, and purchase importance. Participant responses (n=360) were collected through Amazon Mechanical Turk with perceptual measures.

Results indicated that increased delivery time significantly increased customers’ perceived ambiguity and perceived riskiness which reduced satisfaction as well as negatively impacted purchase intentions. Further, free shipping reduced customers’ perceived ambiguity when delivery time was lengthy, but strengthened the perception of ambiguity when the delivery time was short.

This paper sheds light on how a dimension of logistics service quality (delivery time) interacts with shipping charges and purchase importance to impact customer satisfaction and purchase intentions. It introduces uncertainty in the form of perceived ambiguity and perceived riskiness, to the logistics service literature as the mechanism that can explain how delivery time interacting with shipping charges and purchase importance impact customer satisfaction and purchase intentions. The implications for online retailers are that they should display separate shipping charges for shorter delivery times but for longer delivery times they should display a total price for the product which includes the shipping cost. Also when the purchase is important to the customer, they should offer shorter shipping time choices if they want to increase customer satisfaction.

The purpose of this paper is to help shippers determine a negotiation yardstick for transportation price and formulate wise transportation outsourcing strategies by examining the presence of freight rate differentials for shippers and identifying their main causes. This paper also develops a framework for benchmarking freight rates based on the actual data.

This paper proposes an additive dummy regression model to determine a statistical significance in shipping charges between different shippers. Unlike the traditional least square analysis, the proposed model is designed to avoid a biased assessment of the impact of an explanatory variable.

Through a series of empirical data analysis and hypothesis tests, the authors discovered that the fixed portion (minimum base charge) of shipping charges differed depending on the shipper’ individual contract, while the variable portion (fuel or accessorial charge) of shipping charges remained the same regardless of the shipper’s individual contract. As such, shippers who are unaware of flexible but unpredictable transportation pricing practices and unprepared for freight rate negotiation can suffer from higher shipping costs as compared to their peers. Thus, the authors conclude that the success of transportation outsourcing, carrier selection, and freight rate negotiation strategies tends to rest on the shipper’s ability to understand transportation cost structures and then determine the benchmark freight rate considered “fair” and “reasonable” for a given service.

This paper is one of the first to examine shipping cost differentials between different shippers and determine what causes such differentials. In doing so, this paper attempted to assess the potential impact of freight rate negotiation and carrier selection strategies on shippers’ transportation costs in current deregulatory environments where shippers were given a greater freedom to negotiate freight rates with carriers and an increased opportunity to save their transportation costs.

The purpose of this paper is to study how consumers process price frames of product bundles (product plus surcharge) and discount offers to weigh contentious positions between the weighted-additive and the reference-dependent models. Further, some research suggests bundling, while others suggest partitioning to be a more effective pricing strategy. This research evaluated the relative influences of different price frames to examine which model is supported and what are the boundary conditions for price framing.

Two online studies were conducted on Indian adults who had prior experiences of online purchases. They were asked to judge attractiveness of bundles (product along with shipping surcharge). Discounts were shown on the product, the surcharge or on the overall bundle either as partitioned prices or as a bundle.

Across two studies on low- and high-priced products, discounts on shipping surcharge increased attractiveness of the bundle compared to a similar discount on the product or on the overall bundle, supporting the reference-dependent model. Further, for a low-priced product, bundling increased attractiveness, while for a high-priced product, partitioning was more attractive.

More research is needed to examine whether these results translate to other kinds of products, surcharges or discount promotions and in different populations.

This research makes important contributions to theoretical and practical aspects of bundling and partitioned pricing research. It also adds much needed data about evaluation of product bundles with shipping surcharges among Indian customers.

This paper aims to examine the antecedent of purchase intention: online seller reputation, product category and surcharge.

This paper uses five experimental designs to explore the seller reputation, product category and surcharge effects in Internet shopping. The authors chose one seller of low reputation and one seller of high reputation from Yahoo Mall. ANOVA are used to evaluate the results.

Sellers of high reputation can post higher surcharges to increase the total price paid by the buyer, but sellers of low reputation cannot do so (experiment 1). Moreover, partitioned price will decrease purchase intention for sellers of low reputation more than for sellers of high reputation (experiment 2). Consumers take the longest time to make purchasing decisions when buying credence goods (experiment 3) or buying from sellers of low reputation (experiment 4). The effect of surcharge levied by sellers of low reputation is weakened for consumers with low (vs high) shipping‐charge skepticism (experiment 5).

This study is helpful to online sellers if they can identify their reputation, product category and those consumers who have shipping‐charge skepticism, they can create extra profit through surcharge practice.

The authors’ investigation extends the literature on consumers’ price processing by identifying the important moderators (seller reputation, product category, and elaboration) and probing into the decision process (via the response time). The results suggest prescriptive strategies for online sellers.

The purpose of this paper is to analyze the relationship between market competition and distribution strategy for logistics service providers (LSPs), including freight price, service level (delivery speed), and service coverage.

The authors consider two risk-neutral LSPs in which one is an existing company and the other is a new entrant. The existing LSP has a sound distribution network and provides service in both local and remote areas. The new entrant LSP should determine the freight price and service coverage to compete for business. The authors use a Stackelberg game to model the competition between two LSPs with assumptions of consumers’ utility and demand distribution. Numerical examples are used to validate the findings.

The findings show that the distribution strategy for LSPs depends on the ratio of the cost difference and shipping speed difference and demand structure. The LSP with higher shipping speeds only need to meet demands in local areas and may stay out of the market in some cases. To compete for business in the whole areas is more profitable for the LSP with lower shipping speeds when either unit service cost or the potential demand in remote areas is low enough. Otherwise, the LSP with lower speeds should stay out the market of remote areas.

This study is a preliminary research on the relationship between market competition and distribution strategy for LSPs and contributes to service operations management literature and strategic management for LSPs.

Pricing the shipping surcharge is a major strategic decision for online retailers, and free shipping promotions are becoming more common among online retailers. The purpose of this research is to examine the effect of last mile pricing strategies on customer attraction and retention in the hypercompetitive online retailing industry. Specifically, this paper investigates the effect of partitioning the shipping surcharge on consumer logistics service quality (LSQ) perceptions and, in turn, purchase behavior.

Employing signaling theory and expectation–disconfirmation theory, hypotheses are derived for two specific points in an online purchase scenario: prepurchase and following a logistics disruption. The hypotheses are tested using a scenario-based experiment with manipulations for the level of shipping surcharge partitioning and the presence of a logistics disruption.

The results suggest that partitioned shipping surcharges influence prepurchase expectations of LSQ satisfaction and amplify the negative effects of logistics disruptions. This, in turn, drives the purchase and repurchase intentions.

The findings inform online retailers of the perceptual and behavioral effects of last mile pricing strategies. Specifically, this research demonstrates how and under what conditioning partitioning the shipping surcharge can influence the attraction and retention of online customers.

This study integrates pricing and LSQ research to assess the black box of consumer purchase behavior. This is one of the first studies to empirically contrast the effects of last mile pricing strategies on consumer expectations and perceptions of LSQ.

Ports are a significant link in a global supply chain and an economic entity that contributes to the country's economy. India has around 200 ports along its coastline of about 8,000 Km, yet none of them perform at par with many Asian ports. In the Indian port system, cargo throughput and the turnaround time (TAT) of ships calling at ports constitute the most significant performance measures. These performance metrics do not integrate sustainability measures such as emission levels and energy consumed. The draft is a constraint in many ports and ships visit with less than full shipload cargo. The TAT for such vessels may be lower, but the emission per ton of cargo carried is higher compared to a ship with full shipload cargo. Many ports have old or poorly maintained equipment. This state of equipment increases pollution and consumption of energy. In this paper, an attempt has been made to address the issue of undesirable and right outputs simultaneously in an Indian port system. This paper proposes a framework to ensure zero defects in Indian port operations and a port-sustainability-index to measure sustainable services in Indian ports.

The authors used data envelopment analysis (DEA) to show that all private terminals did not perform efficiently and contradicted the notion of Indian policymakers that privatization will lead to an increase in performance levels. A literature review was carried out to identify the dimensions and factors that affect ports' performance. A case study of a major port in India and expert group discussion was done to ascertain the views of stakeholders on deficiencies in the system. The authors complemented this approach with sentiment analysis of opinions expressed by stakeholders over a while, using SentiStrength analysis software (Thelwell, 2010, 2012). The authors used the combined findings to develop the port-sustainability-index (PSI), identify the research question, and develop an ontology of the port system. The authors use the concepts of ontology-design-pattern (ODP) and logistics-service-map (Glöckner et al., 2014; Glöckner and Ludwig, 2016, 2017), opinion mining (Pang and Lee, 2008) and competency questions (Glöckner and Ludwig, 2017) to develop a port system map followed by the identification of critical elements; and the flows (physical and information flow) that gets disrupted due to defects in the system. The ontology led to the identification of competencies and capabilities a port needs to possess. Based on these identification process competency questions were drawn, and the authors identified the plausible defects that port may encounter. The authors suggested the sustainability metrics for monitoring port performance and policy changes based on the competency questions, defects, and mitigation plans.

The authors introduced four KPIs, namely, port-sustainability-index (PSI), load factor (l_x and l_y), draft ratio (d_r), and turnaround-time ratio (TATR). The authors suggested significant policy changes for Indian ports. These included –(1) Introduction of virtual arrival (VA) policy, reducing randomness in the system by pre-scheduling arrivals and activities. (2) Redefining economic life of equipment and machinery in terms of expenditure, income and desired levels of output. (3) Pricing port charges based on stakeholders’ ability and willingness to pay. The port needs to declare its productivity levels and frame their charges accordingly. (4) The ports need to frame an output-oriented privatization policy where it specifies the growth of the port. (5) Framing vessel pricing policy where a vessel may pay tax for the use of non-clean fuel or a get discount for bringing higher parcel load. (6) Levy lower port charges for the shipper for transporting cargo by rail and barges. (7) Introduce a differential pricing system where port levies lower charges for export cargo compared to import load.

The research work can be extended to develop a simulation model to carry out policy experimentations concerning the improvement of performance and carry out sustainable operations. Alternatively, researchers may develop a multi-criteria optimization model to determine the best course of action, keeping the objective function as minimization of PSI value.

This paper provides the means to the Indian ports to remain competitive, lower emission levels and energy consumption, and optimize emission per ton of cargo handled in the port.

Society significantly benefits from this study as it recommends ways to minimize pollution that has a significant impact on human lives. Besides, the measures suggested in the paper will lower the cost of exports and imports, enhancing the real income of consumers.

The area of sustainable port operations has previously been under-researched in the Indian context. Authors contribute to the sustainable port operation literature by suggesting a port-sustainability-index, a framework to assess the defects in port operation and development of a port-ontology for further research in the area of a port system.

Conventional theories suggest that the Internet will drive down prices and lead to perfectly competitive prices. However, there is contradictory evidence indicating that online prices are not absolutely lower than offline stores. Regardless, the Internet gives rise to many opportunities for leveraging pricing strategies, in research and testing capabilities, customer segmentation, dynamic pricing, product differentiation, developing brand loyalty, including shipping and handling in the profitability analysis, offering multiple versions, and creating or participating in electronic marketplaces. The trading platform of eBay, Priceline’s reverse auction, and price comparison Web sites are examples of novel Internet pricing models that are helping create a new pricing paradigm.