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Displacement measurement in large-scale structures (such as excavation walls) is one of the most important applications of close-range photogrammetry, in which achieving high precision requires extracting and accurately matching local features from convergent images. The purpose of this study is to introduce a new multi-image pointing (MIP) algorithm is introduced based on the characteristics of the geometric model generated from the initial matching. This self-adaptive algorithm is used to correct and improve the accuracy of the extracted positions from local features in the convergent images.

In this paper, the new MIP algorithm based on the geometric characteristics of the model generated from the initial matching was introduced, which in a self-adaptive way corrected the extracted image coordinates. The unique characteristics of this proposed algorithm were that the position correction was accomplished with the help of continuous interaction between the 3D model coordinates and the image coordinates and that it had the least dependency on the geometric and radiometric nature of the images. After the initial feature extraction and implementation of the MIP algorithm, the image coordinates were ready for use in the displacement measurement process. The combined photogrammetry displacement adjustment (CPDA) algorithm was used for displacement measurement between two epochs. Micro-geodesy, target-based photogrammetry and the proposed MIP methods were used in a displacement measurement project for an excavation wall in the Velenjak area in Tehran, Iran, to evaluate the proposed algorithm performance. According to the results, the measurement accuracy of the point geo-coordinates of 8 mm and the displacement accuracy of 13 mm could be achieved using the MIP algorithm. In addition to the micro-geodesy method, the accuracy of the results was matched by the cracks created behind the project’s wall. Given the maximum allowable displacement limit of 4 cm in this project, the use of the MIP algorithm produced the required accuracy to determine the critical displacement in the project.

Evaluation of the results demonstrated that the accuracy of 8 mm in determining the position of the points on the feature and the accuracy of 13 mm in the displacement measurement of the excavation walls could be achieved using precise positioning of local features on images using the MIP algorithm.The proposed algorithm can be used in all applications that need to achieve high accuracy in determining the 3D coordinates of local features in close-range photogrammetry.

Some advantages of the proposed MIP photogrammetry algorithm, including the ease of obtaining observations and using local features on the structure in the images rather than installing the artificial targets, make it possible to effectively replace micro-geodesy and instrumentation methods. In addition, the proposed MIP method is superior to the target-based photogrammetric method because it does not need artificial target installation and protection. Moreover, in each photogrammetric application that needs to determine the exact point coordinates on the feature, the proposed algorithm can be very effective in providing the possibility to achieve the required accuracy according to the desired objectives.

The purpose of this paper is to propose a new approach for gauging the performance of the operating units of a retail banking organisation, responding to the special demands of an internal evaluation.

The paper defines a measure of internal performance (MIP) based on behavioural theory, particularly on disappointment models.

MIP is applied for the internal evaluation of a network of bank branches. Application to this real managerial setting reveals that bank managers' preferences support behavioural decision theory, including prospect theory.

The paper shows how MIP can be used as a management tool for improving organisational performance. The approach can be extended to other sectors.

The proposal differs from others existing in the literature in two main aspects. Firstly, it is consistent with the requirements of an internal evaluation because it uses the managers' real preferences instead of assuming them. Secondly, it takes into account that each unit has a different target to achieve according to its specific characteristics.

This study aims to present theory, practice and original research findings to support the proposition that broad enquiry and problem-based learning (EPBL) approaches provide an appropriate pedagogical lens for sustainability educators to develop the knowledge and skills needed to work effectively within mission-oriented innovation policy (MIP) environments.

The research study comprised four elements, each of which used different research methods. The first element involved a literature review mapping the synergies between MIP and EPBL; the second element piloted the use of EPBL for undergraduate modules related to sustainability challenges; the third element involved external stakeholders in the co-creation of a postgraduate programme that brought together innovation and sustainability, with EPBL fundamental to the design and development; the fourth element curated and comparatively analysed international cases of EPBL in the context of MIP, and sustainability challenges in particular, highlighting the versatility of EPBL and the importance of creativity in EPBL design and implementation.

The systematic literature review reveals synergies between the key features of EPBL and defining characteristics of MIP, indicating the relevance of applying EPBL to support MIP. Two in situ pilots generated 13 recommendations on the benefits and operational challenges of applying EPBL. These recommendations informed the design and development of a postgraduate programme, involving a transdisciplinary consultation process with key industrial and societal stakeholders. Comparative analysis of four international case studies describing EPBL applied in practice in different international settings show there is no “one size fits all”. Instead, the application of EPBL to different sustainability challenges and for different learner groups demonstrates the versatility of the pedagogical approach and the creativity of the sustainability educators.

A discourse around the appropriate pedagogical methods and teaching/learning practice to equip the current and future workforce with the knowledge and skills to respond to MIP and global sustainability challenges is nascent but emerging. This paper makes a scientific and practical contribution to the discourse. The authors show how EPBL can underpin the design of programmes to provide learners with the knowledge and skills to support organisations working effectively within an MIP context, especially addressing sustainability challenges. The authors provide recommendations for educators seeking to embed EPBL within their curriculum and call for external stakeholders to proactively engage with educators to co-create programmes with context-specific outcomes.

Online social network (OSN) users have a high propensity to malware threats due to the trust and persuasive factors that underpin OSN models. The escalation of social engineering malware encourages a growing demand for end-user security awareness measures. The purpose of this paper is to take the theoretical cybersecurity awareness model TTAT-MIP and test its feasibility via a Facebook app, namely social network criminal (SNC).

The research employs a mixed-methods approach to evaluate the SNC app. A system usability scale measures the usability of SNC. Paired samples t-tests were administered to 40 participants to measure security awareness – before and after the intervention. Finally, 20 semi-structured interviews were deployed to obtain qualitative data about the usefulness of the App itself.

Results validate the effectiveness of OSN apps utilising a TTAT-MIP model – specifically the mass interpersonal persuasion (MIP) attributes. Using TTAT-MIP as a guidance, practitioners can develop security awareness systems that better leverage the intra-relationship model of OSNs.

The primary limitation of this study is the experimental settings. Although the results testing the TTAT-MIP Facebook app are promising, these were set under experimental conditions.

SNC enable persuasive security behaviour amongst employees and avoid potential malware threats. SNC support consistent security awareness practices by the regular identification of new threats which may inspire the creation of new security awareness videos.

The structure of OSNs is making it easier for malicious users to carry out their activities without the possibility of detection. By building a security awareness programme using the TTAT-MIP model, organisations can proactively manage security awareness.

Many security systems are cumbersome, inconsistent and non-specific. The outcome of this research provides organisations and security practitioners with a framework for designing and developing proactive and tailored security awareness systems.

As a result of a badly conceived farm policy the bulk of the EC′s dried grape crop of 1981/82 was sold into intervention. Minimum import prices (MIPs) were introduced, throwing the import trade into confusion, and distorting the market for dried grapes. MIPs meant that the competitive advantage of low cost suppliers was lost, and the importer′s traditional skills of buying cheap were thwarted. Failure to distinguish between types of product, quality and presentation, led to further difficulties. Even marginal failure to respect the MIP led to the application of substantial countervailing charges. In February 1988 a ruling of the European Court gave some relief to the beleaguered trade.

The complexity of the integration of non-financial benefits (NFB) in major infrastructure projects (MIP) engenders the formulation of networked knowledge between researchers and practitioners. The authors’ research question is as follows: To what extent does scientific knowledge about the integration of NFB into MIP support engaged scholarship or co-construction of knowledge between researchers and practitioners?

The paper uses a review of literature published in academic journals on the integration of NFB in MIP. Nearly 300 papers are analysed in depth, based on categories (aspects and sub-aspects) inspired from engaged scholarship and paradoxical participation approaches. The culture of collaboration and the notion of boundary objects are the two main aspects of this categorization of journal papers.

First, research on the integration of NFB into MIP is either project-oriented or society-oriented but in a larger proportion for society-oriented. Second, a lot of researches favour an analytic over a holistic approach, despite their openness to dialogue with practitioners through the complexity and conflict.

It contributes to the theorization of the engaged scholarship. It also provides insights about research avenues to be exploited where these aspects were not sufficiently exploited, as it is often the case with sustainability, for a better collaboration between researchers and practitioners. Linking the culture of collaboration, boundary objects and knowledge co-creation in the engaged scholarship setting encourages a better understanding of the needs (problem to be resolved) of practitioners, by themselves and the researchers.

The systematic review was conducted in parallel with the organization of two workshops with participants concerned by the integration of NFB into MIP. The paper identified four clusters from their level of compatibility with engaged scholarship.

This paper aims to correct the existing mixed integer programming (MIP) model proposed by Yadav et al. (2019) [“Bi-objective optimization for sustainable supply chain network design in omnichannel.”, Journal of Manufacturing Technology Management, Vol. 30 No. 6, pp. 972–986].

This paper first presents a counterexample to show that the existing MIP model is incorrect and then proposes an improved mixed integer linear programming (MILP) model for the considered problem. Last, a numerical experiment is conducted to test our improved MILP model.

This paper demonstrates that the formulations of the facility capacity constraints and the product flow balance constraints in the existing MIP model are incorrect and incomplete. Due to this reason, infeasible solutions could be identified as feasible ones by the existing MIP model. Hence, the optimal solution obtained with the existing MIP model could be infeasible. A counter-example is used to verify our observations. Computational results verify the effectiveness of our improved MILP model.

This paper gives a complete and correct formulation of the facility capacity constraints and the product flow balance constraints, and conducts other improvements on the existing MIP model. The improved MILP model can be easily implemented and would help companies to have more effective distribution networks under the omnichannel environment.

The purpose of this study is to map the development of articles published, citations, and themes of Marketing Intelligence and Planning (MIP) over the 37-year period of 1983–2019.

This study uses the Scopus database to identify the most-cited MIP articles and most-included authors, institutions and countries in MIP. The study uses bibliometric indicators, as well as tools such as bibliographic coupling, performance analysis and science mapping, to analyze the publication and citation structure of MIP. The study provides a temporal analysis of MIP publishing across different time periods.

MIP has an average publication of 43 articles each year, and the number of citations has grown substantially since it started publication. Although contributors to the journal come from around the globe, they most often are affiliated with the United Kingdom, United States, and Australia. Bibliographic coupling of documents reveals that the journal's primary focus has been on issues such as marketing planning, marketing theory, consumer behavior, global marketing, customer relationship management, customer service and branding. Co-authorship analysis reveals that the journal's collaborative network has grown.

This study uses data from the Scopus database, and any limitations of the database have implications for the findings.

First analysis of this kind of papers published in MIP

This study aims to examine ship loading strategies during large-scale military deployments. Ships are usually loaded to a stowage goal of about 65% of the ship's capacity. The authors identify how much cargo to load onto ships for each sailing and propose lower stowage goals that could improve the delivery of forces during the deployment.

The authors construct several mixed integer programs to identify optimal ship loading strategies that minimize delivery timelines for notional, but realistic, problem variables. The authors study the relative importance of these variables using experimental designs, regressions, correlations and chi-square tests of the empirical results.

The research specifies the conditions during which ships should be light loaded, i.e. loaded to less than 65% of total capacity. Empirical results show cargo delivered up to 16% faster with a light-loaded strategy compared to fully loaded ships.

This work assumes deterministic sailing times and ship loading times. Also, all timing aspects of the problem are estimated to the nearest natural number of days.

This research provides important new insights about optimal ship loading strategies, which were not previously quantified. More importantly, logistics planners could use these insights to reduce sealift delivery timelines during military deployments.

Most ship routing and scheduling problems minimize costs as the primary goal. This research identifies the situations in which ships transporting military forces should be light loaded, thereby trading efficiency for effectiveness, to enable faster overall delivery of unit equipment to theater seaports.

The traveling purchaser problem (TPP) has gained attention in academics to deal with different variants in real business world. This study aims to study a green TPP with quantity discounts and soft time windows (TPPQS), in which a firm needs to purchase products from a set of available markets and deliver the products to a set of customers.

Vehicles are available to visit the markets, which offer products at different prices and with different quantity discount schemes. Soft time windows are present for the markets and the customers, and earliness cost and tardiness may incur if a vehicle cannot arrive a market or a customer within the designated time interval. The environmental impact of transportation activities is considered. The objective of this research is to minimize the total cost, including vehicle-assigning cost, vehicle-traveling cost, purchasing cost, emission cost, earliness cost and tardiness cost, while meeting the total demand of the customers and satisfying all the constraints. A mixed integer programming (MIP) model and a genetic algorithm (GA) approach are proposed to solve the TPPQS.

The results show that both the MIP and the GA can obtain optimal solutions for small-scale cases, and the GA can generate near-optimal solutions for large-scale cases within a short computational time.

The proposed models can help firms increase the performance of customer satisfaction and provide valuable supply chain management references in the service industry.

The proposed models for TPPQS are novel and can facilitate firms to design their green traveling purchasing plans more effectively in today’s environmental conscious and competitive market.