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Grounded on brand equity theory and theory of patronage behavior, this study aims to investigate the moderating effect of consumer involvement and shopping situations in the relationship between consumer-based retailer equity (CBRE) and retail patronage behavior.

The data is collected through a self-administered survey of 338 shoppers in the three biggest shopping centers in Pakistan. Moreover, the data is analyzed through multi-nominal (multiple) regression and interactions analysis.

Results revealed a significant effect of CBRE on patronage behavior and confirmed shopping purpose as a boundary condition in the CBRE-retail patronage behavior relationship. However, the study surprisingly reported that this relationship is not moderated by consumers’ involvement.

Considering our focus on CBRE-based retail patronage behavior, the authors contribute to extant marketing/retailing literature that also yields ample openings for further research. The study offers valuable implications for retailers, especially for evaluating consumers’ behaviors.

This study assists retail-brand managers in best comprehending the CBRE-based patronage behavior paves the way for managers to increase retail patronage behavior.

Regardless of the growing comprehension of consumer-based brand equity and patronage behavior in marketing, more needs to be acknowledged about the relationship between CBRE/retail patronage behavior and related variables, as thus examined in this research.

Basado en la teoría del valor de marca y la teoría del comportamiento de patrocinio, este estudio investiga el efecto moderador de la implicación del consumidor y las situaciones de compra en la relación entre el valor del minorista basado en el consumidor (CBRE) y el comportamiento de patrocinio minorista.

Los datos se recogen mediante una encuesta autoadministrada a 338 compradores en los tres mayores centros comerciales de Pakistán. Además, los datos se analizan mediante regresión multinominal (múltiple) y análisis de interacciones.

Los resultados revelaron un efecto significativo del CBRE en el comportamiento de patrocinio y confirmaron el propósito de compra como una condición límite en la relación CBRE-comportamiento de patrocinio minorista. Sin embargo, el estudio informó sorprendentemente de que esta relación no está moderada por la implicación de los consumidores.

Teniendo en cuenta que nos centramos en el comportamiento de patrocinio minorista basado en el CBRE, contribuimos a la literatura existente sobre marketing/minoristas que también ofrece amplias posibilidades para futuras investigaciones. El estudio ofrece valiosas implicaciones para los minoristas, especialmente para evaluar los comportamientos de los consumidores.

El presente estudio ayuda a los gestores de marcas minoristas a comprender mejor el comportamiento de patrocinio basado en la CBRE y allana el camino para que los gestores aumenten el comportamiento de patrocinio minorista.

A pesar de la creciente comprensión de la equidad de marca basada en el consumidor y el comportamiento de patrocinio en marketing, es necesario reconocer más sobre la relación entre el comportamiento de patrocinio basado en la CBRE y las variables relacionadas, como se examinó en esta investigación.

本研究以品牌资产理论和顾客行为理论为基础, 探讨了消费者参与和购物情境在基于消费者的零售商资产（CBRE）与零售顾客行为之间关系中的调节作用。

数据是通过对巴基斯坦三大购物中心的 338 名购物者进行自填式调查收集的。此外, 还通过多项式（多元）回归和交互分析对数据进行了分析。

结果表明, CBRE 对顾客光顾行为有显著影响, 并证实购物目的是 CBRE 与零售顾客光顾行为关系的边界条件。然而, 令人惊讶的是, 研究报告称这种关系并没有受到消费者参与度的调节。

考虑到我们对基于 CBRE 的零售顾客行为的关注, 我们为现有的市场营销/零售文献做出了贡献, 同时也为进一步研究提供了广阔的空间。本研究为零售商提供了宝贵的启示, 尤其是在评估消费者行为方面。

本研究有助于零售品牌管理者更好地理解基于 CBRE 的顾客行为, 为管理者提高零售顾客行为铺平了道路。

尽管市场营销中对基于消费者的品牌资产和顾客行为的理解不断加深, 但仍需进一步认识 CBRE/零售顾客行为与相关变量之间的关系, 正如本研究中所探讨的那样。

This paper inspects in detail the seasonality (deterministic) in container freight rates, and compares seasonality patterns in different freight rate indices. A deterministic seasonality unit root test is performed to achieve set objectives. This study concludes that all the indices (tested in this paper) exhibit significant deterministic seasonality. For January and August, there is no seasonal effect observed in all five series. At the same time, all the indices except Exports from Europe Rate Index (EEI) exhibit significant seasonal patterns in February, September, and December. All five indices exhibit significant seasonality during May, and the coefficient sign shows a drop in the freight rates. During March, October, and November; it is observed that only EEI exhibit significant seasonal patterns. The results could be beneficial for carriers and agents who are involved in the containerised freight transport business. Also, shippers could get a clear idea about the freight rates' nature across various trade routes.

People visit malls not only to buy a product they need but also to enjoy the atmosphere or environment of the shopping center. Based on design and eco-natural environment, the purpose of this paper is to analyze the attraction factors of shopping centers.

The sample comprised 449 consumers from 25 different shopping centers in Bogota. The structural equation model (AMOS) enables the authors to discuss the influence of the design of green and natural spaces in the commercial management of shopping centers, given its positive and significant effect on the intention to visit.

Shopping centers are, by definition, spaces with a high level of design of the commercial environment. In this case, as evidenced in the results of this research, the design of ecological spaces and environments has the potential of becoming a field of interest for the commercial management of shopping centers, given its potential effect on visiting and shopping intentions.

The main originality of this study was to empirically include and demonstrate the influence of design and natural eco-environment on the intention to visit, along with other elements considered in previous investigations. Therefore, identification of specific empirical findings related to the way attraction factors work allows marketing directors and managers to improve their management decisions concerning design and implementation of marketing strategies, tactical decision guidance, decision-making assessment or control, and the proposal of alternative positioning attributes, such as the design, management, and arrangement of eco-natural environments that allow to increase the number of visits and purchases within these establishments.

The purpose of this paper is to identify the existing measure instruments for dynamic capabilities (DCs) in order to understand the tendencies of quantitative studies on DCs as well as to evaluate the reliability and validity of these scales.

To accomplish this objective, the authors conducted a systematic review of literature on DCs.

Main findings indicate that quantitative research works on DCs have focused on the relationship between DCs, innovation, organization performance, knowledge management and absorptive capacity. Findings also show that efforts to measure DCs quantitatively are recent and lack reliable methodology.

One limitation of this research is that the authors conducted the systematic review on two databases. However, the authors conducted the research on the two most used databases in management research.

Findings show that academicians have plenty of room to work on quantitative research works on DCs as well as to develop robust scales to measure this construct in diverse business sectors.

This paper is the first to analyze the existing scales that measure DCs.

Data represents a critical resource that enables construction companies’ success; thus, its management is very important. The purpose of this study is to assess the benefits of construction data risks management (DRM) in the construction industry (CI).

This study adopted a quantitative method and collected data from various South African construction professionals with the aid of an e-questionnaire. These professionals involve electrical engineers, quantity surveyors, architects and mechanical, as well as civil engineers involved under a firm, or organisation within the province of Gauteng, South Africa. Standard deviation, mean item score, non-parametric Kruskal–Wallis H test and exploratory factor analysis were used to analyse the retrieved data.

The findings revealed that DRM enhances project and company data availability, promotes confidentiality and enhances integrity, which are the primary benefits of DRM that enable the success of project delivery.

The research was carried out only in the province of Gauteng due to COVID-19 travel limitations.

The construction companies will have their data permanently in their possession and no interruption will be seen due to data unavailability, which, in turn, will allow long-term and overall pleasant project outcomes.

This study seeks to address the benefits of DRM in the CI to give additional knowledge on risk management within the built environment to promote success in every project.

The purpose of this study is to examine post-crisis (COVID) futures for major city destinations that are dependent on live entertainment and tourism. Destinations that live from entertainment and tourism must consider the implications of the pandemic and plan strategies for their future.

Based on the Manoa School of Future Studies, four scenarios were identified following a review of current literature. These scenarios (alternate futures) were then discussed in two videoconference focus groups by tourism marketing and entertainment expert professionals from five major North American entertainment cities.

Typical tourism responses to crises and disasters do not appear to apply to the current pandemic and entertainment-dependent destinations (EDDs) are not prepared to thrive in any of the potential outcomes.

This is the first study addressing the future of EDDs in a COVID world. This study cannot predict the future, but this study can make some forecasts. It is important for scholars and professionals to work together toward identifying what can be.

The purpose of this paper is to investigate possible improvements in the pursuit of the sustainable development goals (SDGs) by multinational enterprises (MNEs) through an analysis of the literature.

A critical framework based on Gleicher’s formula for change is provided after conducting a systematic literature review.

The best way to pursue the SDGs is through an integrated approach that recognises the importance of MNEs in terms of possibilities and power of action. Working towards the SDGs appears to be largely limited by three aspects of the problem: its complexity and wickedness, the genuine interest in reaching some SDGs, at the expense of profit and low foresight.

A fundamental limitation of the study concerns, as in most of the literature on the matter, the impossibility of providing an optimal solution to the problem of meeting the SDGs, given their nature. However, formulating the best definition of the problem and its characteristics can contribute to making its management better.

This study has social implications due to the extreme importance that many SDGs have with regard to democracy and social equity, beyond their environmental and economic aspects.

The claimed contribution is the value brought by the synthesis of several points of view, through the interdisciplinary analysis of the research question. The novelty consists in organising the literature according to the formula for change.

A matrix is a Q0-matrix if for every k∈{1,2,…,n}, the sum of all k×k principal minors is nonnegative. In this paper, we study some necessary and sufficient conditions for a digraph to have Q0-completion. Later on we discuss the relationship between Q and Q0-matrix completion problem. Finally, a classification of the digraphs of order up to four is done based on Q0-completion.

Mutual funds are the second most preferred investment option in India and have garnered considerable research interest. The focus of Indian studies thus far has been restricted to the bottom-up approach of investing which rewards a fund manager for picking winner stocks and generates superior returns. While changing portfolio allocation as per varying macro-trends has been instrumental in generating superior returns, it has not been given the desired attention. This study addresses this important research gap.

The authors analyze the industry selection ability of the fund manager on a robust sample by decomposing alpha into alpha due to industry selection and alpha attributable to stock selection. Alpha estimates are computed on a robust sample of 34 open-ended Indian equity mutual funds for a 10-year duration 2011–2020 using three base models of asset pricing – single-factor, four-factor and five-factor alpha under panel data methodology.

The study leads us to four major findings. One, industry selection explains more than two-fifth of the alpha both in cross-section and time series of returns; two, industry selection exhibits persistence for more than four quarters across asset pricing model; third, younger funds have level playing when alpha from picking right industries is concerned; four, broad industry allocation continues to explain superior returns as sector allocation undergoes consolidation during ongoing COVID-19 pandemic and funds increase exposure to defensive stocks, consistent with folio allocations as per macroeconomic conditions.

The authors find strong evidence of persistence in the case of alpha attributable to the industry selection component, and the findings are consistent with the persistence results reported in the empirical literature. While some funds excel in stock-picking skills and others excel in picking the right industries, both skills together make for winner funds that attract larger investor flows as investors chase superior performance. The authors also find no evidence of diseconomies of scale in the case of industry allocation alpha generated by the fund managers.

The results suggest a fresh approach for investors while making mutual fund investment decisions; the investors can achieve superior returns by assessing industry selection skills as it tends to provide a more holistic picture concerning a perennial question – why some funds outperform and continue to contribute to investor's wealth?

Mutual funds have become a favored investment option for Indian investors more so as a disciplined investment option owing to dismal financial literacy rates. The study throws light on a relatively unaddressed dimension of choosing winner funds. The significance of right sector allocation assumed even more significance with the onset of the pandemic which lends further credence to the findings of the study.

Research has been conducted on secondary data extracted from a well-cited database for Indian mutual funds. Empirical analysis and conclusion drawn are based on authentic statistical analysis and adds to the existing literature.

The purpose of this paper is to investigate and quantify the impact of product complexity, including architectural complexity, on operator learning, productivity and quality performance in both assembly and disassembly operations. This topic has not been extensively investigated in previous research.

An extensive experimental campaign involving 84 operators was conducted to repeatedly assemble and disassemble six different products of varying complexity to construct productivity and quality learning curves. Data from the experiment were analysed using statistical methods.

The human learning factor of productivity increases superlinearly with the increasing architectural complexity of products, i.e. from centralised to distributed architectures, both in assembly and disassembly, regardless of the level of overall product complexity. On the other hand, the human learning factor of quality performance decreases superlinearly as the architectural complexity of products increases. The intrinsic characteristics of product architecture are the reasons for this difference in learning factor.

The results of the study suggest that considering product complexity, particularly architectural complexity, in the design and planning of manufacturing processes can optimise operator learning, productivity and quality performance, and inform decisions about improving manufacturing operations.

While previous research has focussed on the effects of complexity on process time and defect generation, this study is amongst the first to investigate and quantify the effects of product complexity, including architectural complexity, on operator learning using an extensive experimental campaign.