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In recent years, economic, environmental and social sustainability has become one of the fastest-growing research fields. The number of primary and secondary papers addressing the triple bottom line is growing significantly, and the supply chain (SC) management discipline is in the same wave. Therefore, this paper aims to propose a novel tertiary systematic methodology to explore, aggregate, categorise and analyse the findings provided by secondary studies.

A novel tertiary systematic literature review approach, including 94 secondary studies, is proposed and used to analyse sustainable SC literature. The papers have been analysed using a research protocol, including descriptive and content analysis criteria.

This tertiary study does not only provide an overview of the literature on the topic of sustainability in SCs but also goes further, drawing up a categorisation of main research areas and research perspectives adopted by previous researchers. The paper also presents a rank of research gaps and an updated and a prioritised agenda.

This paper provides a novel interpretation of the research topics addressed by the secondary studies and presents a new classification of the literature gaps and their evolution. Finally, a dynamic research compass for both academicians and practitioners is presented.

This study aims to investigate organizational learning, represented by the absorptive capacity, as a condition for the firm to learn about marketing data and make more informed decisions. The authors also aimed to understand how the behavior of micro, small and medium enterprises (MSME) businesses differ in this scenario through a multilevel perspective.

Placing absorptive capacity as a mediator of the relationship between business analytics and rational marketing decisions, the authors analyzed data from 224 Brazilian retail companies using structural equation modeling estimated with partial least squares. To test the cross-level moderation effect, the authors also performed a multilevel analysis in RStudio.

The authors found a partial mediation of the absorptive capacity in the relation between business analytics and rational marketing decisions. The authors also discovered that, in the MSMEs firms’ group, even if smaller companies find it more difficult to use data, those that do may reap more benefits than larger ones. This is due to the influence of size in how firms handle information.

The sample size, despite having shown to be consistent and valid, is considered small for a multilevel study. This suggests that our multilevel results should be viewed as suggestive, rather than conclusive, and subjected to further validation.

Rather than solely positioning business analytics as a tool for decision support, the authors’ analysis highlights the importance for firms to develop the absorptive capacity to enable ongoing acquisition, exploration and management of knowledge.

MSMEs are of economic and social importance to most countries, especially developing ones. This research aimed to improve understanding of how this group of firms could transform knowledge into better decisions. The authors also highlight micro and small firms’ difficulties with the use of marketing data so that they can have more effective practices.

The research contributes to the understanding of organizational mechanisms to absorb and learn from the vast amount of current marketing information. Recognizing the relevance of MSMEs, a preliminary multilevel analysis was also conducted to comprehend differences within this group.

This paper examines the dynamic determinants of signaling firm’s market value. The underlying assumption is that when a firm changes its capital structure, it actually changes the relative position and the market values of its capital suppliers’ securities holdings. As for the determinants of capital structure, the paper examines a comprehensive number of factors that have been examined or pointed out in the literature. The paper utilizes the properties of partial adjustment model where the desired (or target) level of market value is adjusted according to both of the changes in actual market values and changes in firm’s capital structure. The results indicate that firm’s market value is not affected by neither factors of tradeoff theory nor free cash flow theories of capital structure. If firm’s liquidity position is taken as a source of short‐term financing, the results indicate that factors of pecking order theory do exist. The premises of dividend irrelevancy and information asymmetry do exist with a negative estimate of the dividend payout ratio. The results also indicate that firms’ financial‐agency signaling is affected by eight factors. These factors are (1) debt financing, (2) bankruptcy risk, (3) type of industry, (4) size, (5) financial flexibility, (6) liquidity position, (7) interest rate and (8) transaction costs of borrowing or paying off debt.

Construction industry (CI) has great prominence for the world economy, and it is expected that, with the use of the innovative technologies and approaches of Industry 4.0 (I4.0), the new industrial paradigm, construction can reach higher levels of productivity. This study aims to develop a model (readiness model) to assess the level of use of I4.0 technologies by the construction sector in Brazil and its most relevant applications.

The methodology used was bibliographic research, design-science research and a survey to validate the model, carried out with 162 companies, considered among the main ones in the sector in Brazil. The literature review revealed 13 technologies of I4.0 applied to construction; hence, the views of industry experts were based on these technologies.

The Digital Advancement Within CoNstruction (DAWN) readiness model was proposed, showing that among the 13 evaluated technologies of I4.0 and their applications, the Brazilian construction companies had a low level of utilization; both high and middle-income companies presented this low level of use; some technologies with a greater number of scientific publications were less used in practice in the Brazilian construction.

The originality and theoretical contribution are to present a readiness model to assess the level of use of I4.0 technologies and their most relevant applications in the CI in countries with an economy similar to Brazil’s, making it possible to measure the level of adoption of these technologies.

Firms frequently need to update their capabilities in changing environments but face significant barriers to accomplish this goal due to the stickiness of their routines, local search constraints, bounded rationality, uncertain imitability, and causal ambiguity. Under high levels of uncertainty, dynamic capabilities are often externally oriented, involving acquisitions and alliances. However, nonunique but competitive predictions about the behavior of these capabilities arise from the evolutionary theory. We test these competitive hypotheses analyzing portfolios of acquisitions and alliances made by pharmaceutical firms in search of portfolios of biotech capabilities. The analysis of portfolios enables us to better identify “common practices” in the pharmaceutical industry than using a transactional‐level focus. We develop implications for the evolutionary theory and for managerial practice.

WE are happy to publish a very interesting and practical little article on a simplified system of borrowers' registration. Such a question may seem to have been settled long ago and not to deserve further discussion, but Miss Wileman makes it quite clear that there is still a little more to be said. Not all librarians will agree with her on one point, although recently it seems to be accepted by some librarians that the numbering of borrowers' tickets is unnecessary, and especially the decimal numbering of them. This matter has been discussed at various meetings of librarians who use these numbers, and they arc, we understand, unanimous in their desire to retain them. They are not intended for a single library such as is at present in operation at Hendon, from which our contributor writes. They are for a system of many branch libraries with a central registration department, and where there is telephone charge and discharge of books. The number is simply intended to give an accurate and rapid definition of an actual person. This we have said several times before, we think, and to dismiss a method which has been found successful with the statement that it is surely unnecessary rather implies that the writer has not fully understood the question. That, however, does not reduce the value of our article.

The purpose of this paper is to demonstrate the importance of exploiting a geographic information system (GIS)-based data management, designed and implemented for an important monumental site. In particular, data collected during the years have been used to create a storytelling experience to disseminate the tangible and intangible heritage of Chan Chan (Peru), the wider site in mud bricks of Latin America.

The paper discusses the steps that have been performed to use the data stored in a GIS, arguing over the importance of sharing the knowledge through web-based tools, and in particular by the implementation of a storytelling. In this context, the data were structured in interoperable forms in order to preserve the universal value of the archaeological site. The exploitation in an all-in-one solution of the archival research, field surveys and planning represents a step forward for let known ancient testimonies to the whole mankind.

The GIS-based inventories represent the backbone for an affordable management of heritage resources. The novelty of the proposed approach lies on the creation of an integrated, accessible and updatable data system sharable on web.

The GIS of Chan Chan is an example of documentation of a wide archaeological area (14 km²) with complex and heterogeneous data. The developed web tool makes use of these data which can be queried even by non-expert users. The pipeline of this paper can act as useful guidelines to practitioners and researchers who want to disseminate cultural information.

Building on the social marketing theory, this study aims to examine the relationship between family units and obesity in Nigeria; and the social marketing interventions used to reduce and prevent obesity in the Nigerian society.

This study adopted a semi-structured interview research design with 42 obese individuals in Nigeria.

The study findings show that the family unit an individual grows up in influences their consumption behaviour, which drives their obesity. The findings reveal that obese Nigerian citizens are willing to live a healthier lifestyle due to the direct and indirect medical costs associated with obesity. Furthermore, the findings disclose the social marketing interventions – local celebrity endorsements, healthy lifestyle promotions, reduced gym membership and affordable access to healthy foods and services – used to prevent and reduce the rising obesity rates in the Nigerian society.

The findings have important theoretical implication given the focus on consumption behaviour and obesity.

The study findings provide an avenue to guide government officials, policymakers and social marketers in shaping their public policy and social marketing interventions to encourage healthier consumption and lifestyle behaviours among families and individuals in the Nigerian society.

To the best of the authors’ knowledge, this is the first research study to investigate how family units in the emerging market of sub-Saharan Africa drive obesity and the social marketing interventions used to reduce and prevent obesity. Theoretical and practical implications are discussed.