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Briefly reviews previous literature by the author before presenting an original 12 step system integration protocol designed to ensure the success of companies or countries in their efforts to develop and market new products. Looks at the issues from different strategic levels such as corporate, international, military and economic. Presents 31 case studies, including the success of Japan in microchips to the failure of Xerox to sell its invention of the Alto personal computer 3 years before Apple: from the success in DNA and Superconductor research to the success of Sunbeam in inventing and marketing food processors: and from the daring invention and production of atomic energy for survival to the successes of sewing machine inventor Howe in co‐operating on patents to compete in markets. Includes 306 questions and answers in order to qualify concepts introduced.

This study aims to examine how transformational leadership impacts learning flows that are critical for enhancing the learning capabilities of organizations.

Data were collected from 502 employees of business organizations located in India. A cross-sectional design was adopted, and partial least squares structural equation modeling (PLS-SEM) was used for data analysis.

Transformational leadership behavior positively influences feed-forward learning flows in organizations and strengthens their learning stock. Learning stock held by the individuals emerged as a predictor of feed-forward learning flows in organizations and a partial mediator of the relationship between transformational leadership and feed-forward learning flows. The study’s findings suggest transformational leadership encourages feed-forward learning flows through the development of individual learning stock.

This study empirically supports the theoretical claim of transformational leadership behaviors as an important antecedent to fostering organizational learning.

The purpose of this paper is to identify how organizational learning processes influence perceived organizational performance and examine the moderating roles of organizational justice and trust in managers therein.

This study develops a theoretical model to exhibit how knowledge acquisition and transfer activities influence perceived organizational performance. Data were collected from 515 respondents and analyzed by PROCESS macro for SPSS.

This study found that feedback learning flows are strongly mediated between learning stocks and organizational performance. It also found that organizational justice moderates the effect of learning stocks on organizational performance through feed-forward learning flows, while trust in manager moderates the effect of learning stocks on organizational performance through feedback learning flows.

This study has a limitation in which it uses self-report data to measure all constructs. The objective measure may be necessary for future study.

The implications of this study are twofold. First, it finds that the higher organizational justice, the better the transfer of knowledge from the bottom up. When firms need to explore new knowledge, fairness in procedure and the distribution system is critical. Second, the higher the trust in management, the better the transfer of knowledge from the top down. The role of managers is instrumental in persuading employees and disseminating knowledge.

Combining functionalist and critical perspectives and developing a theoretical model, this study contributes to the understanding of how trust and justice facilitate learning activities within organizations.

In this interview John C Camillus, author of Wicked Strategies: How Companies Conquer Complexity and Confound Competitors shares his approach to identifying “wicked problems” that firms can then explore to find growth opportunities.

The “wicked strategies” approach that Camillus proposes is designed to convert disruptive technologies into innovative business models, reconcile conflicted stakeholders by engaging them in co-creation of value and transform an unknowable future into a desired one through the alchemy of a Feed-Forward Framework.

Camillus’ proposed Feed-Forward Framework enables and employs the process of experimentation.

Camillus’ multi-level approach starts by discerning unique “wicked problems,” then applies a “Feed-Forward Framework” that analyzes multiple stakeholder interests and develops scenarios to discover and test possible opportunities and robust strategies.

The role of the corporate headquarters that Camillus proposes differs from the approach that is conventionally employed – it focuses intensely on human resources and competency development.

Discusses different processes in nature and the questions that common observation poses for further research. Lists some of these in relation to feed‐back and feed‐forward cycles. Comments on the proper understanding of the cyclic process and the discipline of cybernetics.

This study aims at the employees’ view on organizational learning (OL). OL is originally assessed in the Strategic Learning Assessment Map (SLAM) at the level of the firm by addressing managers, who rated OL in the SLAM on five dimensions of individual, group, organizational, feed-forward and feedback learning. However, as employees are getting their jobs done discretely and are increasingly making their own decisions, their perspective on OL genuinely matters. Hence, the authors assessed OL at the level of the individual by addressing employees on all levels, who rated OL in a short form of the SLAM (SF-SLAM).

In this paper, the authors focused on the construct validity of this SF-SLAM by investigating its reliability, factorial validity and nomological network. First, they asked whether the SF-SLAM reliably measures OL on five dimensions of individual, group, organizational, feed-forward and feedback learning. Next, they asked whether the SF-SLAM was associated with its nomological network of engaging in innovation-related learning activities, behaving innovatively on the job and showing higher educational levels, intelligence and individual job performances. They used a diverse German employee sample of skilled and unskilled workers and managers (N = 434) and analyzed the data with structural equation modeling.

The SF-SLAM was reliable, but revealed both constrained factorial validity and validity on the basis of its nomological network. First, five dimensions found support in the employee sample, but their correlations were high or very high, except for individual learning. Second, the SF-SLAM showed only few differential relations with variables from its nomological network.

Taken together, the SF-SLAM is short, reliable and only valid for examining individual learning.

Budget hotels are becoming an emerging industry for convenience and affordability, where consumer sentiments are of paramount importance. Tourism has become increasingly dependent on social media and online platforms to gather travel-related information, purchase travel products, food, lodging, etc., and share views and experiences. The user-generated data helps companies make informed decisions through predictive and behavioural analytics.

Design/Methodology/Approach: This study uses text mining, deep learning, and machine learning techniques for data collection and sentiment analysis based on 117,151 online reviews of the customers posted on the TripAdvisor website from May 2004 to May 2019 from 197 hotels of five prominent budget hotel groups spread across India using Feedforward Neural Network along with Keras package and Softmax activation function.

Findings: The word-of-mouth turns into electronic word-of-mouth through social networking sites, with easy access to information that enables customers to pick a budget hotel. We identified 20 widely used words that most customers use in their reviews, which can help managers optimise operational efficiency by boosting consumer acceptability, satisfaction, positive experiences, and overcoming negative consumer perceptions.

Practical Implications: The analysis of the review patterns is based on real-time data, which is helpful to understand the customer’s requirements, particularly for budget hotels.

Originality/Value: We analysed TripAdvisor reviews posted over the last 16 years, excluding the Corona period due to industry crises. The findings reverberate in consonance with the performance improvement theory, which states feed-forward a neural network enhances organisational, process, and individual-level performance in the hospitality industry based on customer reviews.

This new paper aims to combine the recent new contributions about direct data driven control and other safety property to form an innovative direct data driven safety control for aircraft flight system. More specifically, within the framework of direct data driven strategy, the collected data are dealt with to get the identified plant and designed controller. After reviewing some priori information about aircraft flight system, a closed loop system with the unknown plant and controller simultaneously is considered. Data driven estimation is proposed to identify the plant and controller only through the ratios of two correlation functions, computed from the collected data. To achieve the dual missions about perfect tracking and safety property, a new notion about safety controller is introduced. To design this safety controller, direct data driven safety controller is proposed to solve one constrain optimization problem. Then the authors apply the Karush–Kuhn–Tucker (KKT) optimality conditions to derive the explicit safety controller.

First, consider one closed loop system corresponding to aircraft flight system with the unknown plant and feed forward controller, data driven estimation is used to identify the plant and feed forward controller. This identification process means nonparametric estimation. Second, to achieve the perfect tracking one given transfer function and guarantee the closed loop output response within one limited range simultaneously, safety property is introduced. Then direct data driven safety control is proposed to design the safety controller, while satisfying the dual goals. Third, as the data driven estimation and direct data driven safety control are all formulated as one constrain optimization problem, the KKT optimality conditions are applied to obtain the explicit safety controller.

Some aircraft system identification and aircraft flight controller design can be reformulated as their corresponding constrain optimization problems. Then through solving these constrain optimization problems, the optimal estimation and controller are yielded, while satisfying our own priori goals. First, data driven estimation is proposed to get the rough estimation about the plant and controller. Second, data driven safety control is proposed to get one safety controller before our mentioned safety concept.

To the best of the authors’ knowledge, some existing theories about nonparametric estimation and tube model predictive control are very mature, but few contributions are applied in practice, such as aircraft system identification and aircraft flight controller design. This new paper shows the new theories about data driven estimation and data driven safety control on aircraft, being corresponded to the classical nonparametric estimation and tube model predictive control. Specifically, data driven estimation gives the rough estimations for the aircraft and its feed forward controller. Furthermore, after introducing the safety concept, data driven safety control is introduced to achieve the desired dual missions with the combination of KKT optimality conditions.

This paper aims to develop a dynamic performance model of three-shaft gas turbine for electricity generation and to study a multi-loop control strategy of three-shaft gas turbine for electricity generation.

In this paper, the dynamic performance model of the three-shaft gas turbine is established and developed. A novel approach, variable partial differential coefficient deviation linearization method is used to simulate the dynamic performance of the three-shaft gas turbine. Single-loop control system, feed-forward feedback control system and cascade system are assessed to control the engine during transient operation.

A novel approach, variable partial differential coefficient deviation linearization method is used to simulate the dynamic performance of the three-shaft gas turbine. According to the results shown, the cascade control system is most satisfactory due to its fastest response and the best stability and robustness.

The method of variable partial linearization is adopted to make the dynamic simulation of the model achieve higher precision, better steady state and less computation time. This paper provides a theoretical study for the multi-loop control system of a marine three-shaft gas turbine.

The purpose of this paper is to investigate an area of growing importance that is widely recognised in the literature relating to the issue of how to improve ways that assessments and feedback are provided to students within higher education. This paper reports on a study that aimed to explore the views of both educators (n=70) and students (n=540) on feedback and feed-forward at a UK university. The study also investigated their experience and attitudes to social media applications as a means of enhancing access to feedback within the context of mobile learning.

The research approach adopted in this study predominately conforms to a quantitative research design though embeds elements of qualitative research via a “mixed methods” approach. The overall methodology of the paper adheres to an exploratory case study in a higher education environment to identify various issues and approaches that could be addressed or enhanced to aid ways that assessments and feedback are disseminated to students within higher education.

Participants’ views were sought in relation to students receiving learning materials, as well as feedback from tutors directly to their smartphones and mobile devices. In addition, the study explored possible reasons for students not wanting to use social media and mobile devices for their learning and feedback. Overall, the results indicated a positive attitude on the part of educators and students to using mobile devices and social media applications for teaching and learning purposes.

The case study presented in this paper draws on findings from one higher educational institution. Further research is required to determine the generalisability of the findings to allow comparison of the findings to be undertaken within other higher education institutions.

The originality of the paper is that it provides detailed empirical evidence and findings that provide several important implications in relation to enhancing the student learning experience and providing considerable improvements to the way that feedback is provided that make it more likely that students will take more notice to feedback and act upon it. This in turn enables educators to better plan and manage their teaching and student experience online and through students’ mobile devices. The value of this study is that it explores views of both educators and students, whereas many other previous studies tend to focus on the views of either educators or students.