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This study examines the empirical relationship between four broad antecedents of brand equity (branding strategy, brand structure, brand positioning and target market) and two separate dimensions of revenue premium: price premium and volume premium. Our modeling framework aims to explain how different antecedents of brand equity influence the realized velocity and margin of branded product sales, key drivers of operating cash flow. Our generalizable empirical analyses are based on a representative dataset of over 6,500 brands, across 200 consumer-packaged goods categories, spanning three years. We find that only 20% of brands command revenue premiums, for which volume premiums are the critical determinant. Branding strategies and brand structure primarily impact volume premium. In contrast, brand positioning has little effect. Target market substantially affects both premiums. Overall, these four elements account for 73% and 69% of the explained variations in price and volume premiums, respectively. This study provides generalizable, important, and novel insights for the theory and practice of brand management regarding price positioning and extending brands into new categories.

The purpose of this paper is to study the impact of collaboration between supply chain entities in a dyadic setting where the manufacturer invests in greening and technology adoption effort leading to a price premium effect for the supply chain players.

The paper uses game theoretic approach to analyze the model of inter-firm interaction in a vertical channel setting consisting of a retailer and manufacturer. The paper studies strategic decisions of the channel members in a decentralized and centralized structure and extends this to decision making under contractual settings.

A two-part tariff completely coordinates the green supply chain, while a cost sharing and revenue sharing contract only achieve partial coordination. Nevertheless, a cost sharing, as well as a revenue sharing contract, increases the greening and technological adoption effort by the manufacturer while yielding the supply chain members a strictly larger profit. Furthermore, a revenue sharing contract in comparison to a cost sharing contract, leads to a larger greening and technological adoption effort by the manufacturer, lower wholesale and retail prices and a strictly larger profit for both the manufacturer and the retailer.

This paper contributes to the green supply chain pricing, technology and contract literature considering strategic interactions between a manufacturer and retailer in a supply chain under price premium effects of greening activities and technological advancements.

The purpose of this paper is to develop methods for inferring if crop insurance premiums imply yield distributions that are valid according to standard laws of probability and broadly consistent with observed empirical evidence. The authors also survey current premium-implied distributions both before and after conditioning on the producer’s choice of coverage level.

Under an assumption of actuarial fairness, the authors derive expressions for upper and lower bounds for premium-implied yield cumulative distribution functions (CDFs) at loss thresholds for each coverage level. When observed premiums imply a CDF that exceeds one or is not non-decreasing, the authors conclude that premiums cannot be actuarially fair. The authors additionally specify very weak conditions for premium-implied yield CDFs to be consistent with two possible reasonable parametric distributions.

The authors evaluate premiums for the year 2018 for 19,104 county-crop-type-practice combinations, both before and after conditioning on producer’s choice of coverage level. The authors find problems in roughly one-third of cases. Problems are exhibited for all crops evaluated, and are strongly associated with areas with lower expected yields and higher yield variability. At least 40m acres are currently insured under premium schedules that cannot possibly be consistent with valid probability distributions.

The authors make two primary contributions. First, the premium-implied yield CDF bounds the authors derive requires fewer assumptions than previous similar work, while simultaneously placing more stringent conditions on premiums to be consistent with actuarial fairness. Second, the authors show that current US crop insurance premiums cannot possibly be actuarially fair for many cases, reflecting tens of millions of insured acres, which implies sub-optimal producer risk mitigation and inequitable expenditures for producers and taxpayers.

The purpose of this paper is to examine the empirical effect of competition on cost and profit efficiency in the South African non-life insurance market in a three-stage analysis.

Using annual firm level data on 80 non-life insurance companies from 2007 to 2012, the authors first employ the stochastic frontier analysis (SFA) to estimate cost and profit efficiency scores. In the second stage, the authors measure insurance market competition using the Panzar-Rosse (P-R) H-statistics. In the final stage, the authors estimate a fixed-effects panel regression model which controls for heteroskedasticity to examine the effect of competition on the estimated efficiency scores. Firm size, diversification, age, risk, reinsurance and leverage are employed as control variables.

From the SFA, the authors find average cost and profit efficiency of 80.08 and 45.71 per cent, respectively. This suggests that non-life insurers have high levels of efficiency in cost and low efficiency in profit. The annual estimates of the P-R H-statistics also suggest that firms in the market earn revenues under conditions of monopolistic competition. The authors find a positive effect of competition on cost and profit efficiency to validate the “quiet-life” hypothesis which posits that competition improves efficiency.

Regulatory policies should be directed towards enhancing competition to improve on the low profit earning potential of firms in the non-life market.

To the best of the authors’ knowledge, this study presents the first application of a non-structural measure of competition to examine the empirical relationship between competition and efficiency in insurance markets.

The purpose of this paper is to explore the financial and economic aspects of the renewable energy sector aiming to develop and present a project feasibility analysis model that allows the public sector to master plan socially beneficial infrastructure projects and to find financially viable options for private investments. This paper develops a general frame that can be harmonized to a certain project by applying relevant country specific schemes.

The cost-benefit analysis (CBA) approach is used to develop relevant formulas aiming to compare the economic internal rate of return (EIRR) and financial internal rate of return (FIRR) of the possible investment options. The IRR method is used for the development of a platform that will allow comparing different project alternatives and choosing an optimal model for both public and private partners. A case study approach from Uzbekistan is used to highlight the implementation possibilities of the model based on a certain country example.

This paper develops a decision-making frame allowing the public sector to find organizational options that provide economically viable projects and at the same time attract private investors in the latter. The designed map of possible benefits, costs and revenue mechanisms allows practitioners to analyze the economic and financial viability of the existing combinations by using the developed model.

The developed model will allow the public sector to use the needed data on different possible design models in the developed formulas in order to identify the EIRR and FIRR of each option. Nevertheless, the application of the model will be possible after considering country specific options needed for CBA. The private sector can use the model to identify the financially acceptable options for the investments.

The paper provides the decision makers with a sound tool to identify the possible combinations of the options to conduct a relevant project with private investments in the renewable energy sector and to choose the model that generates the highest social welfare.

Buyers assessing bids from suppliers of experience services face both an adverse selection and a potential moral hazard problem. The purpose of this study is to examine the relative importance of various signals of supplier reputation conveying information about unobserved supplier quality, which is important for identifying the best tender; and whether price is contingent on supplier reputation and on buyer's quality sensitiveness in a competitive bidding situation.

This study builds on a conjoint experiment where 19 contractors consider alternative scenarios representing tenders from subcontractors of plumbing services. In the scenarios the subcontractors differ on their reputation and price variables, while the contractors differ in their quality sensitiveness. Multiple regressions analyzes the contingent price effects.

Although low price is generally important for subcontractor selection, quality-sensitive buyers are willing to pay subcontractors a price premium to prevent quality debasement. On the other hand, despite the combined significance of supplier reputation on choice, buyers are not willing to pay price premiums to suppliers with a quality reputation.

Conjoint studies produce multiple cases but the underlying sample is limited. Therefore, this study should be regarded as preliminary and a basis for further validation on larger samples.

In competitive bidding situations, suppliers with strong quality reputations may benefit most by low price offers. Thus, suppliers with a strong reputation should achieve profitability through a volume premium rather than a price premium effect. Suppliers opting for price premiums should target the quality sensitive segment of the market.

In contrast to previous findings in B2B brand equity studies, but in line with findings in information economics, this study suggests that suppliers with a reputation for quality will not receive price premiums. The results indicate that in bidding contexts in B2B markets, the reputation variables may enhance rather than reduce buyers' price sensitivity, because supplier reputation increases low price credibility.

The purpose of this empirical paper is to determine the effects of line extension introductions on parent brand equity.

The paper uses a cross‐sectional sample of 318 supermarket brands. A system of equations is proposed and estimated using seemingly unrelated regression.

Brands benefit from line extension introductions, but only high equity brands benefit from innovation. Low equity brands benefit from the solo advertising of their new line extensions.

The results suggest that there are two routes for improving brand equity; high equity brands can introduce innovative products, while low equity parent brands may improve brand equity by supporting new line extensions with solo advertising.

The paper is important in identifying the effects of new product introduction and innovation on brand equity.

The purpose of this paper is to study the details of new age digital business using a freemium business model.

Study of the various prospects of various digital business firms like revenues, customer base, share price, ranks. Uses of freemium business model to hold on to existing customers and attract new customers.

Innovative service or product offerings and growth strategy is the base of this business model. So businesses must assess innovation strategy before deciding whether to opt the freemium business model or not. Retaining the existing user and constant addition of new users are the founding stone of the freemium business model. So, the value offerings have to be well perceived by the customer so that switching costs will be increased for them and the customer will remain loyal.

Analyzing consumer behavior with recent analytical tools and techniques such as web analytics, bigdata analytics are required in order to get deeper market knowledge. It is crucial to get the knowledge of recent trends of markets, the perception of customer and customer’s journey mapping in order to run a business with freemium model.